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Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

This role will work with cross-functional teams including, but not limited to, Quality Operations, R&D Quality, BTS, and Data Analytics in the implementation of AI-powered solutions to address complex business challenges across the global AbbVie Quality network. Partnering with business leaders and process owners, the position holder will ensure processes are AI ready and subsequently provide the necessary business support to BTS from a solution implementation perspective.

Collaborate with business process owners to understand current business processes, challenges, and determine where AI can automate tasks, improve accuracy, or provide new insight.
Project manages the design, development and deployment of AI solutions into production environments from a business perspective and ensuring their integration with existing systems.
Conduct intake of business AI proposals from the global Quality organization, determine prioritization in alignment with leadership objectives, and collaborate with cross-functional teams of data scientists, BTS, and business stakeholders to understand requirements and translate them into AI solutions.
Collaborate with business process owners and data analytics to preprocess and clean data for AI models.
Monitor and evaluate the performance of AI systems, optimizing and fine-tuning existing AI models to enhance their accuracy, efficiency, and performance.
Train and educate teams on AI solutions and adapts training content to the rapidly evolving landscape of AI. Drive AI technology thinking within Quality Operations.
Remain appraised of regulatory requirements in the field of artificial intelligence and maintain the global quality system ensuring that AI applications adhere to industry regulations and standards.
Participate in the relevant industry forums and represent AbbVie.
Participate in the AI solution validation and approve SLC deliverables as Business System Owner.

Qualifications

Bachelor’s degree in Science, Engineering, Computer Science, Data Science, or a related field.
7+ years’ working in a global GMP pharmaceutical, biologics and/or medical device company with demonstrated understanding of industry processes and technical discipline.
Understanding of data engineering and data warehousing concepts.
Excellent problem-solving and analytical skills, with the ability to work with complex datasets.
Solid interpersonal and influencing skills to ensure alignment at various levels cross-functionally
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Excellent leader for a multidisciplinary team from all levels and functions of the organization
Demonstrated ability to lead projects independently from concept to deployment.
A passion for remaining current with the latest advancements in technology.
Analytical thinker with excellent attention to detail.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

","hiringOrganization":{"@type":"Organization","name":"AbbVie","sameAs":"https://www.abbvie.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North Chicago, IL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Project Manager, Artificial Intelligence","datePosted":"2025-07-21","description":"

Company Description

Job Description

Collaborate with business process owners to understand current business processes, challenges, and determine where AI can automate tasks, improve accuracy, or provide new insight.
Project manages the design, development and deployment of AI solutions into production environments from a business perspective and ensuring their integration with existing systems.
Conduct intake of business AI proposals from the global Quality organization, determine prioritization in alignment with leadership objectives, and collaborate with cross-functional teams of data scientists, BTS, and business stakeholders to understand requirements and translate them into AI solutions.
Collaborate with business process owners and data analytics to preprocess and clean data for AI models.
Monitor and evaluate the performance of AI systems, optimizing and fine-tuning existing AI models to enhance their accuracy, efficiency, and performance.
Train and educate teams on AI solutions and adapts training content to the rapidly evolving landscape of AI. Drive AI technology thinking within Quality Operations.
Remain appraised of regulatory requirements in the field of artificial intelligence and maintain the global quality system ensuring that AI applications adhere to industry regulations and standards.
Participate in the relevant industry forums and represent AbbVie.
Participate in the AI solution validation and approve SLC deliverables as Business System Owner.

Qualifications

Bachelor’s degree in Science, Engineering, Computer Science, Data Science, or a related field.
7+ years’ working in a global GMP pharmaceutical, biologics and/or medical device company with demonstrated understanding of industry processes and technical discipline.
Understanding of data engineering and data warehousing concepts.
Excellent problem-solving and analytical skills, with the ability to work with complex datasets.
Solid interpersonal and influencing skills to ensure alignment at various levels cross-functionally
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Excellent leader for a multidisciplinary team from all levels and functions of the organization
Demonstrated ability to lead projects independently from concept to deployment.
A passion for remaining current with the latest advancements in technology.
Analytical thinker with excellent attention to detail.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our short-term incentive programs.
This job is eligible to participate in our long-term incentive programs

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

","hiringOrganization":{"@type":"Organization","name":"AbbVie","sameAs":"https://www.abbvie.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"North Chicago, IL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Artificial Intelligence Lead","datePosted":"2025-07-16","description":"

700AAps seeks a highly motivated and experienced AI Lead to join our dynamic team. As an AI Team Leader, you will lead a talented group of AI engineers and data scientists to develop cutting-edge AI solutions (NLP-LLM focused) for our clients. This is a unique opportunity to work on exciting projects and shape the future of AI technology.

Responsibilities:

Lead and manage a team of AI engineers and data scientists, providing technical guidance and support throughout the project lifecycle.
Collaborate with cross-functional teams, including software developers, product managers, and business analysts, to define project requirements and deliver high-quality AI solutions.
Drive innovation by staying up-to-date with the latest trends and advancements in AI technologies such as Gen/Agentic AI and its tools.
Design and implement AI models and algorithms to solve complex business problems.
Design offline evaluation metrics and online evaluation metrics that leads to the success of the project
Provide mentorship and training to team members to enhance their technical skills and professional growth.
Ensure the timely delivery of AI projects within budget and scope, while maintaining high quality and client satisfaction.
Participate in client meetings and presentations to understand their needs, demonstrate the value of AI solutions, and provide technical expertise.

Requirements

Bachelor's or master's degree in Computer Science, Engineering, or a related field. A Ph.D. in AI or a related field is a plus.
Proven 5+ years of experience in areas of machine learning, recommendation, and natural language processing.
1+ year of experience leading AI projects, preferably in a software development or consulting environment.
2+ years of experience in designing and implementing projects that involve LLM.
2+ years of customer-facing, project-delivery experience, professional services, and/or consulting experience.
Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
Solid understanding of data processing, data analysis, and feature engineering techniques.
Excellent leadership and communication skills, with the ability to effectively collaborate with cross-functional teams and present technical concepts to non-technical stakeholders.
Strong problem-solving and analytical thinking abilities.
Experience in DevOps/MLOps methodologies and project management tools is a plus.

","hiringOrganization":{"@type":"Organization","name":"700Apps","sameAs":"https://www.700apps.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cairo, Cairo Governorate, Egypt - Remote","addressCountry":"Egypt","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":4,"item":{"@type":"JobPosting","title":"Artificial Intelligence Consultant","datePosted":"2025-08-01","description":"Job Location: Vepery, ChennaiExperience: Freshers (Recent Graduates)

About Us

IMC is a leading cross-border advisory firm, serving large enterprises, multinational corporations, SMEs, high-net-worth individuals, family-owned businesses, and startups. We are a Member Firm of Andersen Global in the UAE, Singapore, and India.

Who We Are Looking For

We seek fresh graduates who are passionate about technology and eager to explore the world of digital transformation. Prior experience is not required—only a keen interest in learning and innovation. Ideal candidates are:

* Curious, analytical, and quick learners

* Enthusiastic about AI and digital transformation

* Interested in working with cutting-edge digital solutions

* Strong problem solvers with a proactive mindset

Key Responsibilities

* Assist in digital transformation projects across various domains

* Learn and work with emerging technologies like AI, cloud computing, and automation

* Support software implementation, process optimization, and data analytics

* Collaborate with cross-functional teams to develop and deploy digital solutions

* Adapt to new tools and platforms as required for project execution

Requirements

Required Qualifications

* Bachelor’s degree in Engineering (CS, IT, ECE) / BSc IT / BCA or related fields

* Basic understanding of digital technologies and software tools

* Strong communication and problem-solving skills

* A passion for technology and a willingness to learn in a fast-paced environment

Benefits

Why Join Us?

* Hands-on experience with real-world digital transformation projects

* Exposure to cutting-edge AI and modern technology stacks

* Mentorship and training from experienced professionals

* A dynamic and innovative work environment

To Apply:

Send your resume to hr@intuitconsultancy.com with the subject line \"Application Artificial Intelligence Consultant.\"

","hiringOrganization":{"@type":"Organization","name":"IMC Group","sameAs":"https://intuitconsultancy.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Perambur Purasawalkam, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Intern, Artificial Intelligence","datePosted":"2025-08-07","description":"

Join our innovative AI & Automation Center of Excellence (COE) where we explore cutting-edge AI and automation technologies. This is an exciting opportunity for a passionate and talented individual to gain hands-on experience in the latest advancements in AI and automation, working alongside industry experts.

Job Responsibilities:

· Data Collection: Responsible for collecting, cleaning, and organizing data to support accurate and efficient RAG system performance..

· Python Programming: Utilize your strong Python programming skills to design, develop, and implement AI models and automation scripts.

· Collaboration: Work closely with the AI & Automation COE team to brainstorm ideas, share insights, and contribute to ongoing projects.

· Prototyping: Build prototypes and proof-of-concept solutions to demonstrate the feasibility and potential of new AI and automation technologies.

· Documentation: Maintain thorough documentation of research findings, development processes, and project outcomes.

· Learning and Development: Stay updated with the latest trends and advancements in AI and automation. Participate in training sessions, workshops, and other learning opportunities provided by the COE.

· Passion for AI: Demonstrated interest and enthusiasm for AI and automation technologies.

· Hands-on Experience: Gain practical experience working with the latest AI and automation technologies in a real-world setting.

· Mentorship: Receive guidance and mentorship from experienced professionals in the AI and automation field.

· Collaborative Environment: Work in a dynamic and supportive team environment that encourages innovation and creativity.

","hiringOrganization":{"@type":"Organization","name":"Kuok (Singapore) Limited","sameAs":"https://www.kuokgroup.com.sg/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Singapore, Central Singapore, Singapore","addressCountry":"Singapore","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Artificial Intelligence Engineer","datePosted":"2025-08-04","description":"

Job Description

Ingram Content Group (ICG) is currently seeking an Artificial Intelligence Engineer to join our team in LaVergne, TN (Greater Nashville area). This person delivers AI, Gen-AI and machine learning software solutions with high customer impact. Performs R&D, architecture, and development activities with a specialization in machine learning and AI technologies combining with software engineering principles. Performs all aspects of the development life cycle. Acts as the technical programmer in the team, helps developing, integrating, and testing the solution stack, and has an appetite for problem solving. Delivers results through independent contributions and working in conjunction with senior engineers and architects. This position will be hybrid and work from the Ingram headquarters 3 days per week.

Want to help explore and build new ways to deliver content to the world?

At Ingram, our Technology team is blazing a trail by providing content distribution services to thousands of publishers with key initiatives around business intelligence, machine learning, continuous integration and omnichannel.  We support diverse people and technology that highlights innovation through SaaS platforms, metadata, cloud, and containerization.   Our teams are agile, and emphasize authenticity, creativity, and transparency upon a fact-based foundation. 

The world is reading, and it is our goal to connect as many people as possible to the content they want in the simplest ways.  If you are an IT professional who strives to deliver results through collaborative partnerships, understanding what drives business, and enjoys working in a connected culture, we can’t wait to meet you!

The ideal candidate will have the following minimum qualifications:

Bachelor’s degree in computer science/computer engineering or related field
2+ years’ experience in designing, developing, and implementing AI and machine learning systems, solutions, applications, and services

We prefer:

Working knowledge of basic software development languages and principles
Knowledge of a focused set of tools and technology related to AI, Gen-AI, machine learning, and data science
Knowledge of Development Tools with demonstrated experience in appropriate development tools – Python, AI/machine learning/data manipulation packages of Python, TensorFlow, PyTorch, RESTFul services development frameworks like Flask, and AI APIs.
Working knowledge of client-server architectures, RESTFul APIs, Model service frameworks, and test-driven development
Ability to evaluate public domain and open-source model architectures, fine tune, calibrate, and re-train them as needed.
Ability to build and evaluate the custom machine learning models to suite the needs such as prediction, classification, forecasting, or other general-purpose modeling

The AI Engineer key responsibilities are:

Develops internal and external facing AI, machine learning, and data science software applications.
Contributes to all the phases of AI solutions development life cycle support including specifications, prototypes, development, quality assurance, code reviews, and deployment.
Works with team members to identify and enforce best practices, models, etc.
Explores new technologies, models, and development techniques.
Coordinates with users and product owners to gather basic requirements.

Hiring Salary Range: $95,295 - $120,834k. This range represents the anticipated low and high end of the salary for this position. It will be determined by factors including but not limited to: the applicant’s education, experience, knowledge, skills, and abilities, geographic location, as well as internal equity and alignment with market data.

Additional Information

Perks/Benefits:

A highly competitive compensation package with generous benefits beginning first day of employment for Medical/Prescription Drug plans, HSA, Vision, Dental and Health Care FSA.
- 15 vacation days & 12 sick days accrued annually and 3 personal days
- 401K match, Life and AD&D, Employee Assistance programs, Group Legal, & more
- Wellness program with access to onsite gym and basketball court for associates
Encouraged continued education with our tuition reimbursement program
Financial and in-kind opportunities to engage with non-profits in your community
- Company match program for United Way donations
- Volunteer opportunities and in-kind drives for non-profits throughout the year
Take breaks or brainstorm in our game room with ping pong & foosball
Casual Dress Code & Flexible Schedules (per team)

The world is reading, and Ingram Content Group (“Ingram”) connects people with content in all forms. Providing comprehensive services for publishers, retailers, libraries and educators, Ingram makes these services seamless and accessible through technology, innovation and creativity. With an expansive global network of offices and facilities, Ingram’s services include digital and physical book distribution, print-on-demand, and digital learning. Ingram Content Group is a part of Ingram Industries Inc. and includes Ingram Book Group LLC, Ingram Publisher Services LLC, Lightning Source LLC, Ingram Library Services LLC, Tennessee Book Company LLC, Ingram Content Group UK Ltd. and Ingram Content Group Australia Pty Ltd.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, work related mental or physical disability, veteran status, sexual orientation, gender identity, or genetic information.

EOE-Race/Gender/Veterans/Disabled
We participate in EVerify.
EEO Poster in English
EEO Poster in Spanish

","hiringOrganization":{"@type":"Organization","name":"Ingram Content Group","sameAs":"https://www.ingramcontent.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"La Vergne, TN, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Intern, Artificial Intelligence","datePosted":"2025-08-05","description":"

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.

Job Title:

Intern, Artificial Intelligence

Reporting To:

Manager, Engrg.

Work Schedule:

Onsite – Buffalo, NY

Moog’s Innovation team is seeking a fall 2025 block intern. The intern will have an onsite work schedule in East Aurora, NY.

To be considered for Intern, Artificial Intelligence, here’s what you’ll need to bring with you:

Enrolled in a Computer Science or relevant Bachelor's or Master's Degree program, at an accredited university.

GPA of at least 3.0; exact GPA requirement will be specified by department.

This position requires access to U.S. export-controlled information.

Ability to relocate for the duration of the internship.

Experience with coding and using Artificial Intelligence.

Students within the Moog U.S. Internship Program are expected to have a professional disposition, effective communication skills, a strong desire to learn, a positive attitude, and the ability to work in a team environment.

As an Artificial Intelligence Intern, you will:

Contribute to the preparation and execution of key information technology tasks at Moog.

Work experience may include coding, data collection, data engineering, and/or testing code, based on the student's educational discipline.

Provide input on project processes, strategies, and execution.

Operate as a multidisciplinary member of a team of creative, independent individuals.

Represent Moog in a manner consistent with its technical and professional reputation.

How we care for you:

Work/Life Balance: Flexible paid time off, holidays, and relocation assistance

Collaborative and Welcoming Workplace: Inclusive culture rooted in our values, enhanced by Employee Resource Groups, and team-building activities.

Additional site-specific benefits may be offered

Salary Range Transparency:

Buffalo, NY $22.50–$28.00 Hourly

Salary Range Disclaimer

The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog's total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits.

This position requires access to U.S. export-controlled information.

EOE/AA Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran

Moog is an Equal Opportunity Employer, and as such affirms the right of every person to participate in all aspects of employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at 844-367-5787.

","hiringOrganization":{"@type":"Organization","name":"Moog Inc.","sameAs":"https://www.moog.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"East Aurora 11, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Artificial Intelligence Leader","datePosted":"2025-08-10","description":"

Company Details

\"Our Company provides a state of predictability which allows brokers and agents to act with confidence.\"Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.

Along the way, we’ve been listed on the New York Stock Exchange, become a Fortune 500 company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.

Today, the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance & Monoline Excess. Led by our Executive Chairman, founder, and largest shareholder, William. R. Berkley, and our President and Chief Executive Officer, W. Robert Berkley, Jr., W. R. Berkley Corporation is well-positioned to respond to opportunities for future growth.

Responsibilities

This role champions the development and execution of AI and Generative AI strategies throughout the organization. It serves as a subject matter expert and executive to drive, develop, contribute to, facilitate, support and ensure alignment on artificial intelligence strategy and governance across all cross-functional areas and supporting operating units within WRBC. This role plays a critical part in contributing to and coordinating efforts to operationalize a vision for artificial intelligence.. This pivotal role demands a candidate who is not only a strategic visionary but also possesses a robust background in implementing AI and machine learning technologies, combined with exemplary leadership and collaborative skills. The incumbent will play an instrumental role in guiding our AI trajectory.

Strategic Development & Facilitation & Expertise:

Stay current on the fast-moving AI capabilities and products in general and in the insurance space. Collaborate with senior leadership at Corporate and Operating Units to develop and refine the company’s artificial intelligence strategy and implementation plans. Ensure well thought out pilot projects and alignment of AI initiatives with WRBC’s overall business objectives.

Training and Development:

Train, coordinate and collaborate with AI Champions and other communities. Promote training programs that enhance employee understanding and capabilities in utilizing AI tools effectively. Support the creation of training materials and coordinate logistics for training sessions. Collaborate with OUs, Corporate Functions and Shared Services to share knowledge and learning opportunities.

Cross-Functional Collaboration:

Work closely with various departments including Data & Analytics (DNA), Audit, HR, EPMO (Enterprise Project Management Office), Legal & Compliance, Procurement, BTS (Business Technology Services) & Infrastructure, and Information Security where AI strategy and operational needs intersect. Promote effective communication and collaboration among departments to ensure cohesive AI integrations. Work with BTS and DNA to provide workspace and tools necessary to implement strategy.

Compliance:

Facilitate the operations of AI governance committee to ensure responsible usage and compliance with regulatory standards. Improve and stabilize. Organize and lead committee meetings, ensuring preparation of agendas, and documented decisions and action items. Collaborate with DNA, Legal & Compliance, BTS for AI model governance and related data governance. Coordinate with Legal and Compliance in monitoring regulatory standards and internal policies related to AI and data usage.

Change Management:

Oversee change management initiatives related to AI adoption across the company. Support, develop, coordinate and implement strategies to manage the impact of AI on business processes and resource roles.

Qualifications

• Experience in leading implementation of AI within business processes.• Experience leading AI transformational and change management projects in the business with the ability to work with cross functional teams to achieve desired goals.• Sound understanding of technology, business and operations with hands on experience in delivering projects across the various functions. • Creative thinker with experience developing strategies and solutions built on digital technologies.• The ability to prioritize, manage and deliver efficient and creative solutions within tight timescales and budgetary constraints.• Experience with managing governance committee/processes and ensuring regulatory compliance.• Builds and maintains effective relationships with internal and external stakeholders.• An eye for detail and excellent communication and collaboration skills.• Property & Casualty knowledge/experience preferred.

Education Requirement

• Master’s/Bachelor’s degree in a technical related field such as Artificial Intelligence, Data Science, Machine Learning, Engineering, Computer Science, Mathematics, Statistics,, or business related discipline.

","hiringOrganization":{"@type":"Organization","name":"Berkley","sameAs":"https://www.wrberkley.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Greenwich, CT, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Director, Artificial Intelligence","datePosted":"2025-08-19","description":"

As the Director of Artificial Intelligence, you set the vision for how AI transforms our business. You lead strategy, governance, and execution - turning emerging technologies into enterprise value. We depend on your leadership to scale responsible AI, accelerate innovation, and deliver measurable results across every business function. Your work ensures AI is not just a tool, but a core part of how we operate and grow.

Responsibilities:

Define and lead the enterprise AI strategy and roadmap, aligning priorities with business goals, operational needs, and BWE's BOLD transformation initiatives.
Evaluate and select AI platforms, tools, and vendors with emphasis on scalable, secure, and user-empowered solutions (e.g., Microsoft Copilot, Power Platform, OpenAI, Claude).
Build and maintain a prioritized AI portfolio of projects and use cases across business units, ensuring alignment with revenue generation and operational efficiency goals.
Serve as a strategic advisor to executive leadership on AI opportunities, risks, investments, and competitive positioning in the marketplace.
Lead the governance and ethics framework for AI use across the organization, partnering with BWE’s AI Center to ensure responsible AI deployment.
Collaborate with data, engineering, security, and business leaders to operationalize AI solutions while maintaining regulatory compliance and risk management standards.
Drive the Scale Agentic AI BOLD initiative by identifying, prioritizing, and overseeing deployment of AI agents across core business functions.
Partner with Head of AI Experience and Head of Change Acceleration to ensure successful AI adoption and user enablement across the organization.
Research and evaluate emerging AI technologies and market trends to maintain BWE's competitive advantage and innovation leadership.
Establish AI performance metrics and ROI measurement frameworks to demonstrate business value and guide investment decisions.
Lead, coach, and develop AI team members while building organizational AI capabilities and technical expertise.
Ensure AI implementations meet security, privacy, and regulatory requirements specific to the CRE industry.

Near-Term Deliverables:

Conduct comprehensive AI readiness assessment across BWE identifying current capabilities, gaps, and strategic opportunities with prioritized implementation roadmap.
Develop and implement AI governance framework addressing model risk management, data privacy, algorithmic bias, and ethical AI deployment standards.
Launch Scale Agentic AI initiative by identifying and deploying 3-5 high-impact AI agents across origination, closing, and servicing workflows.
Establish BWE’s AI Center of Excellence with standardized processes, tools, and methodologies for AI project evaluation, development, and deployment.
Research and recommend AI platform strategy including vendor selection, integration architecture, and cost optimization across multiple AI providers.
Create AI performance measurement framework tracking business impact, user adoption, cost efficiency, and risk metrics with executive reporting.
Partner with business leadership to identify and validate AI use cases that drive measurable improvements in revenue, efficiency, or customer experience.
Develop AI talent acquisition and development strategy including skill requirements, training programs, and organizational capability building.
Establish vendor relationships and strategic partnerships with key AI providers ensuring optimal pricing, support, and innovation access.
Complete advanced AI leadership training and maintain awareness of emerging technologies relevant to financial services applications.

Minimum Qualifications:

8+ years of experience in data science, AI/ML, automation, or technology leadership roles with 3+ years in executive or senior leadership capacity.
Proven experience deploying AI solutions in enterprise environments, preferably within Microsoft ecosystems and cloud platforms.
Deep familiarity with Generative AI, machine learning pipelines, responsible AI frameworks, and enterprise automation technologies.
Strong strategic thinking, cross-functional leadership, and executive-level stakeholder communication skills.
Experience with AI governance, risk management, and regulatory compliance in enterprise environments.
Knowledge of financial services industry regulations and AI risk management requirements.
Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field; advanced degree preferred.
Demonstrated track record of building and leading high-performing technical teams.

Preferred Qualifications:

Advanced degree (MS/PhD) in Artificial Intelligence, Machine Learning, Computer Science, or related field.
Experience in CRE, mortgage banking, or regulated industries with complex compliance requirements.
Professional certifications in AI/ML platforms (Microsoft AI, AWS ML, Google Cloud AI) or related technologies.
Previous experience leading digital transformation initiatives involving AI adoption and organizational change management.
Knowledge of emerging AI technologies including agentic AI, multimodal AI, and AI orchestration platforms.
Experience with AI vendor management, contract negotiation, and strategic partnership development.
Track record of driving measurable business outcomes through AI implementation in enterprise environments.

We encourage you to explore the career opportunities we have available here at BWE!

","hiringOrganization":{"@type":"Organization","name":"BWE","sameAs":"https://bwe.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Columbus, Ohio, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Lead Engineer Artificial Intelligence","datePosted":"2025-07-21","description":"

Help us change lives

At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

The Lead Engineer, Artificial Intelligence is a pivotal position responsible for driving the strategic vision and technical execution of AI initiatives within the organization. This role demands expertise in Machine Learning, Natural Language Processing, and emerging technologies such as Generative AI and Large Language Models. This role will be responsible for the development and deployment of innovative AI solutions, ensuring their alignment with business objectives while fostering collaboration across multidisciplinary teams. A strong emphasis is placed on problem-solving, efficiency enhancement, and maintaining the reliability and scalability of AI systems to deliver exceptional results.

Essential Duties

Include, but are not limited to, the following:

Lead the execution of ML, NLP, LLM deliverables in support of the AI strategies.
Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
Partner on the execution of custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines including data ingestion, preprocessing modules, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development and ensure the end-to-end solution meets all technical and business requirements, and SLA specifications.

Complete the development and deployment of AI models and algorithms to solve complex problems.
Stay updated on advancements in AI research and technology to guide initiatives.

Foster a culture of innovation, collaboration, and continuous learning within the team.
Coach, support, and provide mentorship for team members.

Champion ethical AI practices and ensure compliance with regulatory standards.
Address issues related to data privacy, security, and biases in AI systems.

Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
Support and comply with the company’s Quality Management System policies and procedures.
Maintain regular and reliable attendance.
Ability to act with an inclusion mindset and model these behaviors for the organization.

Minimum Qualifications:

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field; or High School Diploma/General Education Degree and 4+ years of relevant as outlined in the essential duties in lieu of Bachelor’s Degree.
Demonstrated expertise in designing and deploying cutting-edge AI solutions that drive measurable business impact.
Demonstrated understanding of ethical considerations in AI systems.
3+ years of project leadership experience including Agile project management, Scaled Agile Frameworks (SAFE).
Advanced ability working with machine learning frameworks, programming languages like Python, and cloud platforms.
Strong analytical and problem-solving skills with expertise in AI/ML techniques.

Preferred Qualifications:

Experience designing and deploying Gen AI solutions at scale.
Experience fine tuning LLMs, SLMs, teacher-student frameworks and model distillation
Familiarity with human in the loop methods for aligning LLMs with human preferences, e.g. DPO
Familiarity with Agentic framework platforms and concepts. Experience deploying agentic-based solutions is a plus.

#LI-CB1

Salary Range:

$147,000.00 - $250,000.00

The annual base salary shown is a national range for this position on a full-time basis and may differ by hiring location. In addition, this position is bonus eligible, and is eligible to be considered for company stock at hire and on an annual basis.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

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Who You Are:

You are a dynamic AI Governance Expert interested in challenging the status quo to ensure development and impact of Sanofi's AI solutions for the patients of tomorrow. You are an influencer and leader who has deployed DSC/AI/ML solutions applying state-of-the art algorithms with technically robust lifecycle management. You have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.

We are seeking an experienced AI Governance expert to coordinate our artificial intelligence initiatives. This role involves leading and coordinate the development and deployment of AI solutions, guiding a team of talented data scientists and engineers, and collaborating with cross-functional teams to drive innovation and deliver cutting-edge AI projects.

Job Highlights & main responsibilities:

Coordinate and manage our AI team in developing innovative AI solutions aligned with business objectives.
Ensure regulatory, data privacy and other best practices for AI and GenAI projects.
Ensure AI systems comply with privacy laws, data protection regulations, and industry best practices.
Develop and deliver training programs to educate employees on AI governance principles, policies, and best practices.
Identify and assess potential risks associated with AI technologies and recommend mitigation strategies.
Implement risk management frameworks to monitor and address biases, security vulnerabilities, and ethical concerns in AI models.
Collaborate with internal and external stakeholders, including data scientists, legal teams, ethicists, and regulatory bodies, to align AI initiatives with governance standards.
Serve as a point of contact for AI governance-related queries and issues.
Conduct regular audits of AI systems to ensure compliance with established governance policies.
Document and report on governance activities, compliance status, and any incidents or breaches.
Stay updated on emerging trends and advancements in AI governance and disseminate knowledge across the organization.
Analyzing existing operations to identify risks and redundancies.
Work with business stakeholders, developers, engineers, and MLOps to deliver AI/ML solutions.

Key Requirements & Qualifications:

Degree or master’s degree in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with 5+ years of analytical experience.
Understanding of AI technologies, machine learning algorithms, and data science principles.
In-depth knowledge of legal and ethical issues related to AI, including privacy, bias, and accountability.
Excellent analytical, problem-solving, and risk assessment skills.
Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
Proficiency in conducting audits and preparing compliance reports.
Minimum of 5+ years of experience in AI governance, data privacy, compliance, or a related field.
Proven track record of developing and implementing governance frameworks and policies.
Experience with various enterprise-level Application Programming Interfaces (APIs).
Hands-on experience in Generative AI projects using state-of-the art technologies: LangChain, Pinecone, Claude, ChatGPT, AI Frameworks and others.
Strong experience defining and developing AI solutions from end-to-end perspective.
Experience leveraging AI agents like LangChain, AutoGPT or similar in corporate environments.
Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
Experience developing deployable code and deploying models in product-focused development under an agile environment.
Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
Excellent written and verbal communication, business analysis, data visualization and data storytelling skills
A demonstrated ability to work and collaborate in a team environment.
Proven track record of successfully leading AI projects from conception to deployment.
Nice to have: Experience in life sciences and healthcare and experience in a complex global organization.

Other skills and competencies:

Advanced Microsoft Office (PowerPoint, Word, Excel) skills.
Strong English skills both written and spoken. Spain and French are a plus.
Analytical mind and flexible, pro-active and result driven attitude.
Ability to be highly productive and effective in remote working conditions.
Ability to find compromises: balance between pushing for change and bringing people along.
Team player.
Goal-focused.
Proactive worker
Passion for improving and challenging the status quo: a strong educator and digital evangelist.
Learning mindset, eager to learn.
Enthusiasm and professionalism.
Strong self-motivation.
Ability to handle different tasks in a fast-paced environment.
Ability to work in an International and multi-cultural global team, based on transparency, constructive feedback, mutual respect and integrity.

","hiringOrganization":{"@type":"Organization","name":"Sanofi","sameAs":"https://www.sanofi.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Software Engineer, Artificial Intelligence","datePosted":"2025-08-02","description":"

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in C++, or 1 year of experience with an advanced degree.
1 year of experience working with two or more from the following: Artificial Intelligence, Machine Learning, distributed and parallel systems, networking, developing large-scale software systems, privacy or wipeout, and security software development.

Preferred qualifications:

Master's degree or PhD in Computer Science or a related technical fields.
2 years of experience with data structures or algorithms in an academic or industry setting.
Ability to build Google-scale services.
Ability to work separately and contribute to project direction.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.\nThe Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Leverage Artificial Intelligence (AI) models to personalize results for Google's AI applications.
Implement advanced retrieval techniques (e.g., embeddings, vector databases) to ensure the related data is fetched.
Scale data processing infrastructure to ingest user data from multiple sources.
Develop compliance solutions by integrating with frameworks and adhering to data security and privacy standards, while promoting relationships with infrastructure teams.
Drive productionization and reliability efforts, including production readiness, privacy and security reviews, configuration management tooling, and resource acquisition.

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We’re Adevinta, a global leader in digital marketplaces. Our household name brands, including Marktplaats in the Netherlands, mobile.de in Germany and leboncoin in France, reach hundreds of millions of people every month.

We’re all about matchmaking, and our sites help people find whatever they’re looking for in their local communities – whether it’s a car, an apartment, a sofa or a new job. Every connection made or item found makes a difference by creating a world where people share more and waste less.

Our brands are supported by global Tech Hubs in Barcelona, Amsterdam, Paris and Berlin. Their goal is to develop common global products and innovation platforms which all of our brands can use. This means using cutting edge technology to create highly scalable, customisable and secure products and components that free up development time and leverage our access to global data.

What you’ll do & Who you are

Role Summary

InfoJobs seeks a visionary Head of AI to spearhead our AI strategy and execution. You will build and lead our AI team, drive innovation in machine learning, GenAI and related fields, and ensure AI initiatives deliver significant business value and align with our strategic goals. This role is key to shaping the future of our offerings and our operations through advanced AI.

Key Responsibilities

Define and execute the company-wide AI vision, strategy, and roadmap.
Build, mentor, and lead a high-performing AI team (Machine Learning Enabler and Data Scientists).
Oversee the end-to-end lifecycle of AI/ML projects from ideation to production deployment and iteration.
Collaborate with Product, Engineering, Data, and other departments to integrate AI solutions and drive impact, both in our products and services and in internal solutions.
Guide choices for AI/ML platforms, tools, and MLOps best practices.
Champion ethical and responsible AI development and governance, aligned with current and future regulations.
Stay at the forefront of AI advancements, driving research and innovation.
Translate AI capabilities into business value and communicate effectively with all stakeholders.
Manage the AI department's budget and resources.

Required Qualifications & Skills

Extensive experience (typically 8-10+ years) in AI/ML, with proven leadership (3-4+ years) building, managing and developing AI teams.
Track record of successfully leading teams delivering impactful AI/ML solutions into production both in B2B and B2C domains.
Deep understanding of ML algorithms, Deep Learning, NLP, etc.
Deep understanding of GenAI, LLMs, Agents, MCP, etc.
Knowledge of Python and common AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Experience with MLOps principles and cloud AI platforms (AWS and Databricks preferably).
Strong strategic thinking, problem-solving, leadership, and communication skills.

Preferred Qualifications & Skills

Experience in the Jobs domain or in marketplaces sectors.
Experience with large-scale data processing (eg. Spark, Airflow).
Familiarity with AI ethics and data privacy and AI regulations.
Master’s or Ph.D. in Computer Science, AI, Machine Learning, Data Science, or a related field.

Benefits

Life at Adevinta comes with its perks! Our Adevintans enjoy the following benefits:

An attractive Base Salary 💸
Participation in our Short-Term Incentive plan (annual bonus) 🏆
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere! Maybe not from the moon🌛well why not! just make sure you have internet connection! 🌍
A 24/7 Employee Assistance Program for you and your family, because we care ❤️‍
Win together, lose together is one of our key behaviours. At Adevinta you will find a collaborative environment with an opportunity to explore your potential and grow 🌱

On top of these, we also provide a range of locally relevant benefits. Wanna know more? Apply and ask our recruiters! ✨

Adevinta is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. Research suggests that women and individuals from underrepresented groups may self-select out of opportunities if they don’t meet 100% of the job requirements. We strongly encourage people from historically excluded groups to apply and look forward to speaking with you.

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The Director of Artificial Intelligence (AI) is responsible for overseeing and driving the organization’s AI strategy, research, and implementation. This role will be responsible for building and leading a high-performing AI team, establishing AI strategies, and driving innovation across all business units that enhance business operations, improve customer experiences, and deliver measurable business outcomes. The Director of AI works closely to align AI initiatives with the company's overall vision and objectives while ensuring ethical and responsible AI practices.

Strategic Leadership:
- Develop and execute the organization's AI strategy to align with business objectives.
- Identify opportunities to leverage AI for innovation, efficiency, and competitive advantage.
- Stay updated on AI trends, technologies, and industry best practices to maintain leadership in the field.
Team and Project Management:
- Lead, mentor, and manage cross-functional teams of AI researchers, engineers, and data scientists.
- Oversee the design, development, and deployment of AI models and systems.
- Ensure projects are delivered on time, within budget, and meet quality standards.
Collaboration and Communication:
- Partner with business units to identify AI use cases and prioritize initiatives.
- Communicate complex AI concepts and strategies to stakeholders, including the executive team and board members.
- Foster collaboration between AI teams and other departments such as IT, marketing, and operations.
Technology and Innovation:
- Drive the development of proprietary AI tools, frameworks, and technologies.
- Evaluate and integrate third-party AI solutions where appropriate.
- Continuously monitor the evolving AI/ML landscape and identify opportunities to leverage new advancements.
Governance and Ethics:
- Establish and enforce policies for ethical AI development and deployment.
- Ensure compliance with data privacy regulations and industry standards.
- Monitor and mitigate risks associated with AI technologies.
Performance Measurement:
- Define and track KPIs to measure the impact of AI initiatives on business outcomes.
- Report on AI progress and achievements to senior leadership.

Qualifications:

Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related field; Ph.D. preferred.
10+ years of experience in AI/ML, including leadership roles.
Proven track record of delivering AI solutions that drive business value.
Deep expertise in machine learning, deep learning, natural language processing, and computer vision.
Strong understanding of AI ethics, governance, and compliance requirements.
Excellent leadership, communication, and problem-solving skills.
Experience in managing large-scale AI projects and budgets.

Preferred Skills:

Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and AI tools.
Experience in industries such as healthcare, finance, retail, or technology.
Strong analytical mindset and ability to interpret complex data.
Knowledge of Agile or other project management methodologies.

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Job Details

Job Location Strongsville OH - Strongsville, OHPosition Type Internship

Description

Union Home Mortgage’s L.E.A.D Internship Program’s goal is to provide a fun, interesting, and real-world environment for our interns to Learn about the industry, be Educated by Sr. Leadership and their peers, Achieve their personal goals and Develop their skills and knowledge base. We pride ourselves in providing innovative programs for our interns in order for them to learn and grow they progress through their careers. Some of the programs we offer include: shadowing, mentoring, professional development, group projects and we even take our interns on corporate outings! Our internship program gives students a chance to meet new people, gain more experience, and learn from the best in the business! Our interns are treated like full-time Partners who work 40 hours a week during the 3-month summer program, are compensated, and based out of headquarters in Strongsville, Ohio.

A Junior AI Engineer is responsible for transforming mortgage operations by enhancing efficiency in loan origination and servicing while improving customer experience and retention. In this role, you will design, develop, and deploy cutting-edge AI solutions to optimize complex workflows, reduce manual processes, and deliver seamless, personalized borrower interactions. Your expertise will directly contribute to faster loan processing, reduced loan manufacturing costs, and more efficient servicing operations.

DUTIES & RESPONSIBILITIES

Automate Repetitive Tasks- Identify manual processes and develop AI tools to reduce human effort
Speed up Workflows - Build systems to simplify decision-making and prioritize tasks
Minimize Errors - Implement checks to improve data accuracy and consistency
Ensure Compliance - Integrate safeguards to align AI systems with regulations
Collaborate Across Teams - Partner with stakeholders to align AI solutions with business goals
Maintain Systems - Monitor AI tools and refine them for ongoing efficiency
Stay Current – Keep up with the latest developments in AI and apply new techniques as appropriate

Qualifications

SKILLS REQUIRED

Programming skills in Python, R or similar language
Self-motivated with excellent written and verbal communication skills
Strong problem-solving skills
Analytical thinker

EDUCATION & EXPERIENCE

Bachelor’s degree in Computer Science, Data Science, Statistics or related field
Experience with machine learning libraries and frameworks
Basic knowledge of linear algebra, calculus probabilities, and statistics as they apply to machine learning

Applications are accepted on a rolling basis and positions are open until filled (this may be prior to the job posting expiration date).

At UHM, we understand diversity comes in many different forms. It’s our commitment to improve inclusion in the workplace through programs and policies that establish a positive and inclusive environment where every Partner, regardless of their background, can grow and excel. We value diversity, educate on equity, and create inclusive partner opportunities to ensure that you know #UBelongAtUHM!

This employer participates in E-Verify. If hired, the employer will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Union Home Mortgage Corp. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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Company Description

Are you ready to be a big part of something big?

At carsales, we're all about making buying and selling a great experience. For over 25 years we’ve been evolving with the new economy to help people choose how they move today and tomorrow.

When it comes to your career, we want to provide big opportunities to help you make a big impact. But for this to be possible, we strive to feel small. Small enough to quickly change tack, small enough to learn from different departments and small enough to connect authentically with leadership.

With a vision to be the global leader in online vehicle marketplaces. We transform how people buy and sell across the globe. We discover new ideas and make them happen. We continue to grow, and we continue to evolve – and we aren’t afraid to make big bets.

Not something you’d expect from one of the country’s biggest tech companies, is it?

Our Head of Artificial Intelligence provides visionary leadership across a multidisciplinary team, driving the development of intelligent, customer-centric solutions. Blending deep technical expertise in artificial intelligence with a strong emphasis on people leadership—cultivating a culture of innovation, ethical AI practices, and continuous learning.

We embrace a hybrid way of working – mixing working from home with the energy and connection that comes from being together in the office. We champion flexibility and have many policies, procedures and leave options to support flexible work.

What’s on offer:

A place where you can move your career forward, where you’ll be continuously backed to make new ideas happen, and the chance to do work that makes real, significant impact in the world.
We’re proud to be recognised as one of Australia’s Best Workplaces™ by Great Place to Work®, a Family Friendly Workplace, a WORK180 endorsed employer for women.
The support of a highly engaged, high-performing team including a leadership team that’s you’ll actually have face time with.
24 weeks paid parental leave for primary caregivers, four weeks paid secondary caregivers leave, six weeks paid gender transition leave.

Job Description

What you’ll do:

The Head of Artificial Intelligence will shape both the strategic direction of AI initiatives and the teams that bring them to life. Collaborating closely with cross-functional stakeholders to align AI strategies with broader business objectives, ensuring scalable, high-impact outcomes. With a commitment to mentoring and capability building.

Own carsales’ strategy for technologies enabling AI solutions
Collaborate with senior leaders to align company-wide priorities and create long-term, commercially sound plans
Actively engage in outlining the investment needed to achieve strategic objectives and inform annual planning
Drive behavioural and cultural standards across your vertical (Tech & Data) and across collaborating functions (Product, Design, Marketing)
Take an oversight role into Science and ML engineering initiatives and ensures they are aligned with carsales’ commercial and technical goals
Provide guidance to senior leadership across carsales in solving the problems necessary to advancing the AI agenda
Deep dive when necessary to bring a strategic lens to critical decisions within a delivery group
Provide technical leadership to specialists working on ML/AI initiatives, getting hands-on when needed
Hold your teams, collaborators and themselves accountable for delivering strategic outcomes to a high standard
Establish disciplines that balance innovation velocity with operational reliability

Qualifications

What are we looking for?

Success leading strong data & AI teams, and an all-of-business-first culture
Demonstrated influence skills to navigate cross-functional dynamics, enable robust debate and create unified commitment ('disagree and commit') towards shared objectives
Grounding in software engineering (e.g. software design, testing etc.) data engineering (e.g. MapReduce, partitioning etc.) and the machine learning (e.g. model training, evalution etc.) to lead teams effectively
Technical agility to lead decision-making across disciplines. Proficiencies including: Python, Spark, Kubernetes, core backend and front-end frameworks, architecture and design patterns (e.g. API design).
Advanced understanding of management practices for engineering delivery for large teams
Experienced guiding senior leadership on advancing product development and technical excellence agendas
Experience negotiating complex trade-offs between commercial needs and research and operationalisation considerations in delivering AI products
The operating range to work broad and deep, communicating appropriately with stakeholders at a range of levels

Additional Information

A few other things we want to let you know about...

carsales is an equal opportunity employer and we pride ourselves on fostering a diverse and inclusive workplace. We encourage everyone of all ages, genders and backgrounds to apply. If you’re a candidate with a disability or you’ll need some adjustments to be at your best, let us know how we can provide you with additional support.
We know how important keeping that balance between work/life is and have a range of flexible working options on offer, including part time work. We are open to this conversation during our recruitment process - if you want to know more just ask.
We are a proud Circle Back Initiative Employer which means we are committed to responding to every job applicant.
Successful candidates joining the carsales family are required to undergo a National Police Record check and must have full-time Australian working rights on an ongoing basis.

So come and join our team - because every role is a big role in our plans to go big.

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We are facing a real challenge and we are looking for the right person to join our adventure.

The use of digitalization technologies and Artificial Intelligence in the world of healthcare reveals great opportunities to benefit and improve patient’s care, reducing costs and improving global health. We can find many medical areas that are already getting the benefits of this new wave, however, others like hematology, infectious diseases, neglected tropical diseases, among others, still remain one step behind. SpotLab is fighting to bridge the gap.

We have received more than 10 international awards, including the Seal of Excellence of the European Union, being one of the most innovative start-up companies based on breakthrough innovations with scale and impact potential. We are a multidisciplinary orchestra with gender parity where developers, engineers, doctors, business managers, etc. with different professional backgrounds interact and complement each other.

We are looking to hire a full time Artificial Intelligence Research Scientist, who will develop, train and deploy machine learning and image processing algorithms for the diagnosis of medical images.

Requirements

Main Tasks

Developing solutions for medical image analysis using neural networks and automatic image processing.
Preparing the working environment to organize and clean the data, the ground truth, and everything needed to evaluate different algorithms and pipelines.
Interacting with medical specialists and product managers to understand the needs and assess technical feasibility.
Deploying algorithms in real time operational conditions working together with the engineering team.
Drafting the technical documentation of the technology developed.
Scientific publications mean a lot for SpotLab, we strive to create high impact publications, that is why you will need to be able to get involved at any stage of the research, from state of the art analysis, experiment planning and execution, critical thinking and scientific mind for solutions and conclusions, paper writing skills for submission, dealing with reviews, so on.

Skills, Experience and Qualifications required:

Proven experience developing solutions in the fields of machine learning, image processing or computer vision.
Experience with the followings are plus:
- Artificial Intelligence in the Edge
- Biomedical image processing
- Computer vision
- Video processing
- NLP
- LLM
- Any other input format, such as audio? text? accelerometers? or any other? let us know!
Strong software engineering skills in Python and experience with the Python scientific ecosystem.
Knowledge of artificial intelligence frameworks and in particular deep learning libraries (Keras, TensorFlow, Caffe or Torch) (WandB). Knowledge of programming with GPUs is a plus.
A master's degree or a doctorate in computer science, Mathematics, Biomedical Engineering or another relevant discipline is a plus.
Encouraged to try new ideas, willing to share points of view with workmates
Willingness to take risks and the ability to stay persistent.
A dreamer soul and empathic heart, with the urge to create a positive impact in this world
Excellent communications skills, both written and verbal (spanish and english)
Ability to work in a small team, full of multidisciplinary people and a fast-change environment.
Ability to deal with uncertainty, autonomy to explore new paths and dare to walk the unwalkable.

","hiringOrganization":{"@type":"Organization","name":"Spotlab","sameAs":"https://www.spotlab.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Madrid, Comunidad de Madrid, Spain","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Artificial Intelligence Research Internship","datePosted":"2025-08-03","description":"

We are facing a real challenge and we are looking for the right person to join our adventure.

We are offering an Artificial Intelligence Research Internship in Madrid, who will help to develop, train and deploy machine learning and image processing algorithms for health.

Requirements

Main Tasks

Developing solutions for medical image analysis using neural networks, image processing and LLMs.
Preparing the working environment to organize and clean the data, the ground truth, and everything needed to evaluate different algorithms and pipelines.
Interacting with medical specialists and product managers to understand the needs and assess technical feasibility.
Deploying algorithms in real time operational conditions working together with the engineering team.
Helping to draft the technical documentation of the technology developed.
Supporting the team at any stage of the research from state of the art analysis to experiment planning and execution.

Skills, Experience and Qualifications required:

Experience developing solutions in the field of AI.
Knowledge of the followings subjects is a plus:
Artificial Intelligence in the Edge
1. Biomedical image processing
2. Computer vision
3. Video processing
4. NLP
5. LLMs
6. Any other input data, such as audio? text? accelerometers? or any other? let us know!
Software engineering skills in Python and experience with the Python scientific ecosystem.
Knowledge of artificial intelligence frameworks and in particular deep learning libraries (Keras, TensorFlow, Caffe or Torch) (WandB). Knowledge of programming with GPUs is a plus.
A master's degree in computer science, Mathematics, Engineering or another relevant discipline is a plus.
Encouraged to try new ideas, willing to share points of view with workmates
Willingness to take risks and the ability to stay persistent.
A dreamer soul and empathic heart, with the urge to create a positive impact in this world
Excellent communications skills, both written and verbal (spanish and english)
Ability to work in a small team, full of multidisciplinary people and a fast-change environment.
Ability to deal with uncertainty, autonomy to explore new paths and dare to walk the unwalkable.

","hiringOrganization":{"@type":"Organization","name":"Spotlab","sameAs":"https://www.spotlab.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Madrid, Comunidad de Madrid, Spain","addressCountry":"Spain","addressRegion":"Europe"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"IT, Intern - Artificial Intelligence","datePosted":"2025-08-12","description":"

Responsibility:
1. Work with diverse teams on AI projects, providing technical support and collaborating on problem-solving.
2. Assist in data tasks like collection, cleaning, and preprocessing to ensure quality data for AI model development.
3. Help design, train, and deploy AI models, participating in experiments and analysis for model improvement.
4. Contribute to model evaluation and optimization, identifying areas for improvement and fine-tuning performance.
5. Gain coding experience by automating repetitive tasks and procedures using scripts and automation tools.
6. Support innovation by researching new AI technologies and methodologies to stay updated with industry trends.

Requirements:
1. Currently pursuing a Diploma or Bachelor's Degree in fields related to Computer Science (IT) / Artificial Intelligence (AI).
2. Minimum CGPA of 3.0.
3. Able to commit at least 3 to 6 months. Students in their last semester are encouraged to submit their applications.
4. Proficiency in Microsoft Excel and PowerPoint.\"

","hiringOrganization":{"@type":"Organization","name":"Watsons Malaysia","sameAs":"https://www.watsons.com.my/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wilayah Persekutuan Kuala Lumpur, Malaysia","addressCountry":"Malaysia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":20,"item":{"@type":"JobPosting","title":"Artificial Intelligence Governance Expert","datePosted":"2025-08-12","description":"

Who You Are:

Job Highlights & main responsibilities:

Coordinate and manage our AI team in developing innovative AI solutions aligned with business objectives.
Ensure regulatory, data privacy and other best practices for AI and GenAI projects.
Ensure AI systems comply with privacy laws, data protection regulations, and industry best practices.
Develop and deliver training programs to educate employees on AI governance principles, policies, and best practices.
Identify and assess potential risks associated with AI technologies and recommend mitigation strategies.
Implement risk management frameworks to monitor and address biases, security vulnerabilities, and ethical concerns in AI models.
Collaborate with internal and external stakeholders, including data scientists, legal teams, ethicists, and regulatory bodies, to align AI initiatives with governance standards.
Serve as a point of contact for AI governance-related queries and issues.
Conduct regular audits of AI systems to ensure compliance with established governance policies.
Document and report on governance activities, compliance status, and any incidents or breaches.
Stay updated on emerging trends and advancements in AI governance and disseminate knowledge across the organization.
Analyzing existing operations to identify risks and redundancies.
Work with business stakeholders, developers, engineers, and MLOps to deliver AI/ML solutions.

Key Requirements & Qualifications:

Degree or master’s degree in mathematics, computer science, engineering, physics, statistics, economics, or a related quantitative discipline with strong coding skills, OR Master’s Degree in relevant domain with 5+ years of analytical experience.
Understanding of AI technologies, machine learning algorithms, and data science principles.
In-depth knowledge of legal and ethical issues related to AI, including privacy, bias, and accountability.
Excellent analytical, problem-solving, and risk assessment skills.
Strong communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
Proficiency in conducting audits and preparing compliance reports.
Minimum of 5+ years of experience in AI governance, data privacy, compliance, or a related field.
Proven track record of developing and implementing governance frameworks and policies.
Experience with various enterprise-level Application Programming Interfaces (APIs).
Hands-on experience in Generative AI projects using state-of-the art technologies: LangChain, Pinecone, Claude, ChatGPT, AI Frameworks and others.
Strong experience defining and developing AI solutions from end-to-end perspective.
Experience leveraging AI agents like LangChain, AutoGPT or similar in corporate environments.
Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML.
Experience developing deployable code and deploying models in product-focused development under an agile environment.
Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)
Excellent written and verbal communication, business analysis, data visualization and data storytelling skills
A demonstrated ability to work and collaborate in a team environment.
Proven track record of successfully leading AI projects from conception to deployment.
Nice to have: Experience in life sciences and healthcare and experience in a complex global organization.

Other skills and competencies:

Advanced Microsoft Office (PowerPoint, Word, Excel) skills.
Strong English skills both written and spoken. Spain and French are a plus.
Analytical mind and flexible, pro-active and result driven attitude.
Ability to be highly productive and effective in remote working conditions.
Ability to find compromises: balance between pushing for change and bringing people along.
Team player.
Goal-focused.
Proactive worker
Passion for improving and challenging the status quo: a strong educator and digital evangelist.
Learning mindset, eager to learn.
Enthusiasm and professionalism.
Strong self-motivation.
Ability to handle different tasks in a fast-paced environment.
Ability to work in an International and multi-cultural global team, based on transparency, constructive feedback, mutual respect and integrity.

","hiringOrganization":{"@type":"Organization","name":"Sanofi","sameAs":"https://www.sanofi.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Product Manager, Artificial Intelligence","datePosted":"2025-08-12","description":"

About this role:

We are seeking a Product Manager, GenAI to join the Conduct Analytics and Reporting team in Wells Fargo’s Governance and Workforce Relations (GWR) organization. This is an exciting opportunity to partner with GWR business leaders across the company to tackle compliance needs and develop AI products leveraging custom, open-source, and proprietary AI models. In this role, you will be working with CAR leaders to plan the roadmap and manage the development of custom AI products.

In this role, you will:

Advise, influence, and support leadership on customer discovery, product planning, business requirements gathering, product design, development, and implementation of AI solutions for GWR business needs.
Develop in-depth understanding of the GWR organization to identify potential AI opportunities, lead product planning, and solve unique challenges.
Deliver solutions with consideration of industry dynamics, compliance, regulatory impact, and risk management.
Develop and monitor product roadmap and key performance indicators, identify improvement opportunities, and ensure regulatory and policy compliance.
Ensure cross-functional dependencies and business readiness needs are articulated, managed, and addressed to successfully execute work with quality and on-time.
Provide direction and expertise to leadership on implementing innovative AI-driven business solutions that are strategically focused.
Define the team’s product roadmap, set priorities, establish goals, and guide teams in designing, developing, and delivering solutions for GWR.
Manage processes and routines needed to ensure that the product predictably delivers value, adjust planning in situations that may include financial, control, or process roadblocks.
Inspect pre-release progress, recommend changes, and ensure timelines are met.
Engage with leaders, stakeholders, subject matter experts, scrum masters, project managers and delivery team companywide.
Serve as an expert advisor to executives on complex, visible, and diverse solutions.

Required Qualifications:

5+ years of Product Management, product development, strategic planning, process management, change delivery experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

3+ years of AI product experience, including a strong understanding of AI concepts as applied to enterprise workflows and decision-making
Proven experience leading AI-driven initiatives in the financial or HR domain
Experience applying AI tools for prediction, optimization, classification, or sentiment analysis to drive insights and decision-making
Experience consulting, implementing, and owning AI products and tools
Experience leading scrum teams in an Agile environment and strong Agile knowledge.
Experience influencing and managing cross-functional work streams to execute initiatives with quality and on-time.
Experience working with cross-functional teams including data science, engineering, and business partners to deliver AI-driven solutions.
Experience leading and facilitating workshops and discussions to effectively gather requirements and achieve a detailed understanding of client objectives and desired outcomes.
Familiarity with ethical considerations and data privacy regulations related to AI (e.g., GDPR, CCPA).
Ability to translate complex AI concepts into actionable product strategies and communicate them effectively to non-technical stakeholders.
Excellent verbal, written and interpersonal communication skills.
Ability to collaborate and partner with senior executives/leaders.
Ability to leverage leadership acumen to build credibility and direct matrixed resources in a fast-paced and constantly evolving environment.

Job Expectations:

Ability to travel up to 10% of the time.
This position offers a hybrid work schedule and is posted in West Des Moines, IA and uptown Charlotte, NC.
Visa Sponsorship is not available for this position.
Relocation assistance is not available for this position.

Posting End Date:

24 Aug 2025

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

","hiringOrganization":{"@type":"Organization","name":"Wells Fargo","sameAs":"https://www.wellsfargo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"141753-NC-Three Wells Fargo Center, Charlotte, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Business Manager, Artificial Intelligence","datePosted":"2025-08-14","description":"

Verition Fund Management LLC (“Verition”) is a multi-strategy, multi-manager hedge fund founded in 2008. Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

The firm is seeking an experienced Business Manager to help lead the firm’s AI adoption. The role will be responsible for helping to manage the AI initiatives and priorities, as determined by senior management. We are looking for a motivated, organized individual with a desire to work in a fast paced, collaborative environment. In this role, you will work closely with business and technology to transform our AI offerings. You will be focusing on requirements collection, documentation, and managing the business delivery for all AI offerings. The role reports directly into the Managing Director of Middle Office Solutions.

Responsibilities:

Serve as business manager, syncing plans across the management team, operations and technology
Ownership of business initiatives, deadlines, testing and production roll-out of AI tools across the firm
The documentation and mapping out of technical solutions
Identify and communicate technical constraints, bugs, delays to business
Assist business side management with technology resource allocation and prioritization

Qualifications:

3-5 years of experience at a buy side firm in business or project management
Some experience with AI technologies
Experience working across different asset classes, products and markets
Ability to scope out functional and technical requirements based on management input
Comfortable with databases, cloud computing, and large data sets
Deep understanding of financial products
Experience working with complex business system integration and implementation
Ability to communicate detailed levels to development teams and end-users
Minimum level of technical proficiency – Python, R, BASH, etc
Experience in project management software (JIRA, Monday)

Salary Range$150,000—$200,000 USD","hiringOrganization":{"@type":"Organization","name":"Verition Fund Management","sameAs":"https://www.verition.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Artificial Intelligence Reporter (Cybernews)","datePosted":"2025-08-18","description":"Mediatech
As one of the fastest-growing digital publishing houses in the world, Mediatech combines digital, tech, and content competencies to simplify complex information and make it accessible to everyone. Since launching Cybernews in 2019, expanding into Wellnesspulse, and creating a financial insights platform Investorsobserver, we have grown to a team of 300 in-house experts and over 200 global contributors.
You would be joining one of Mediatech’s leading brands – Cybernews.com, an independent media outlet driven by a team of investigative journalists, researchers, and security experts.
At Cybernews, we go beyond the headlines — through in-depth research, hands-on testing, and data-driven insights, we uncover the latest cyber threats, expose vulnerabilities, and provide expert guidance to help people stay secure in an ever-changing digital landscape
Editorial Team
It is an expert driven team of journalists and editors dedicated to delivering insightful and impactful news. With a sharp focus on cybersecurity, technology, and digital trends, we uncover stories that matter and attempt to tell them in the most compelling way.
You
A sharp, curious mind who’s always on the lookout for the next big story. You stay ahead of the curve — spotting breaking news, emerging trends, and must-know topics before they go mainstream. You know where to look, whether it’s global news outlets, social media chatter, or niche industry updates, and you can quickly turn what you find into clear, engaging stories that capture attention.\n

WHAT WILL YOU DO

Balance covering breaking daily AI news with conducting longer-term, in-depth investigations and analyses on artificial intelligence
Identify the most engaging AI-related news and topic angles tailored to resonate with the Cybernews audience
Write and upload AI-focused articles
Create and monitor your network of sources for exclusive AI-related news and topics
Follow and analyze website data for content directions and improvement
Collaborate with other teams to boost brand visibility and content performance, including research, communications, SEO, and Youtube, among others

WE EXPECT YOU TO HAVE

Newsroom work experience
Excellent writing, editing, and proofreading in English
Flexibility to work in a fast-paced environment together with a team
Excellent time-management and organizational skills
Strong communication skills, both written and verbal
Knowledge of technology trends and cybersecurityGoal-oriented mindset

AT MEDIATECH YOU WILL GET

Paid sick days and private health insurance that includes dental, vision, health checks, and 80% coverage for 25 psychotherapy sessions
Access to premium mental health apps, onsite workouts, and gym membership support — all available during parental leave too
Learning budget for courses, conferences, and books — your growth is always backed
Extra days off, thoughtful gifts, and bonuses to celebrate life’s milestones like birthdays, weddings, and new arrivals
Pet-friendly, centrally located office with game zones, healthy snacks, and cozy spaces to unwind
Fun company events, fitness challenges, and team-building activities that actually connect people
Additional vacation days the longer you stay — because recharging is essential

GROSS SALARY

2 300 - 3 300 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competences.

","hiringOrganization":{"@type":"Organization","name":"Mediatech","sameAs":"https://mediatech.one/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vilnius","addressCountry":"Lithuania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Senior Artificial Intelligence Architect","datePosted":"2025-08-13","description":"

Join SADA as a Senior Artificial Intelligence Architect

Your Mission

As a Senior Artificial Intelligence Architect at SADA, you will work in a fast-paced, highly-skilled team developing state-of-the-art enterprise solutions using a wide variety of artificial intelligence technologies. You will work directly with customers, engineers, sales teams and partners to deliver high quality professional service engagements to SADA’s customers. SADA is a premier partner of Google Cloud Platform (GCP), and as such, your implementations will focus on enabling customers to best utilize GCP or to demonstrate its capabilities.

You will be responsible for building cloud-native artificial intelligence solutions using Google’s Vertex AI platform and all related technologies, such as Gemini large language models, Vertex AI, LangChain, Agent Development Kit, Vector Search and more. You may also be responsible for implementing domain-specific solutions such as Vertex AI Search for Retail or Contact Center AI Platform. This is a hands-on role that will include both architecting and implementing AI solutions.

Artificial intelligence is an extremely dynamic and quick-changing discipline. Therefore, your approach for learning new technology will be as important as any prior knowledge. We are looking for a “professional tinkerer” with a passion for continuous learning and a knack for problem solving. Someone that learns fast and pivots even faster. That always says “I’ll figure it out” instead of “I don’t know.”

Your day-to-day will consist of the following activities:

Implementing AI–based solutions for SADA clients across all project stages, from discovery and architecture, to development, testing and launch
Providing subject matter expertise and assistance to SADA clients and colleagues on artificial intelligence topics

Collaboration with client stakeholders managing the project, including other engineers and Director-level client resources
Creating technical documentation and leading solution design discussions
Assisting with technical pre-sales discussions and the creation of statements of work

Expectations

Customer-Facing - Daily interactions with customers, including standups or sales meetings; at other times, weekly/bi-weekly as for sprint planning, reviews/retrospectives, or demos. These interactions will be with roles ranging from engineers to key executive stakeholders.

Travel - Up to 35% travel to customer sites, conferences, and other related events.

Job Requirements

Required Credentials:

One of the following (within 90 days of hire):

Required Qualifications:

4+ years of relevant work experience in technical consulting, software development or cloud engineering
1+ years of relevant work experience designing and implementing Generative AI solutions, including the use of large language models, model fine tuning, vector embeddings, and AI application frameworks to build retrieval augmented generation and multimodal workloads, preferably using Vertex AI on GCP
Strong consultative skills, including the ability to translate complex AI concepts into actionable business strategies and solutions
Ability to communicate complex technical concepts to a broad range of internal and external stakeholders
Expertise in development using Python, and familiarity with other programming languages such as JavaScript, Go or Java
Comfortable developing with frontend web frameworks such as Streamlit, Gradio or React
Experience designing and implementing serverless and containerized solutions on common deployment runtimes, preferably Cloud Run, Google Kubernetes Engine, or Vertex AI on Google Cloud Platform
Experience building and maintaining high-quality, developer-friendly server-side code, such as webhooks, cloud functions, and data pipelines
Experience with full stack development, including setting up cloud infrastructure, database services and application lifecycle management
Ability to architect, scope, and prioritize work based on feedback from the customer or internal teams.
Experience working with analytical and transactional database systems, including SQL databases like MySQL, PostgreSQL or BigQuery
Experience participating in sales calls
Experience in business or technical consulting

Useful Qualifications:

Exposure to containers and container orchestration, such as Docker

Experience working with interactive development environments like JupyterLab and Vertex AI Workbench
Exposure to model serving frameworks such as LLM and FastAPI and model training frameworks such as PyTorch and TensorFlow

Experience in writing automated tests, including unit, integration, and acceptance tests
Experience monitoring and scaling workloads based on latency or throughput demands

About SADA An Insight company

Values: SADA stands for inclusion, fairness, and doing the right thing. From our very beginning, we’ve championed a diverse workplace where we support and learn from each other, amplifying the impact we make with our customers. We’re proud that our teams are composed of contributors who represent a wide array of backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer. Our three core values are the foundation of everything we do:

Hunger
Heart
Harmony

Work with the Best: SADA has been the largest Google Cloud partner in North America since 2016 and, for the eighth year in a row, has been named a Google Global Partner of the Year . This year, SADA was named a Google Cloud Global Partner of the year 2024. SADA has also been awarded Best Place to Work year after year by the Business Intelligence Group and Inc. Magazine, and was recognized as a Niche Player in the 2023 Gartner® Magic Quadrant™ for Public Cloud IT Transformation Services.

Benefits: Unlimited PTO, paid parental leave, competitive and attractive compensation, performance-based bonuses, paid holidays, generous medical, dental, vision plans, life, short and long-term disability insurance, 401K/RRSP with match, as well as Google-certified training programs and a professional development stipend.

Business Performance: SADA has been named to the INC 5000 Fastest-Growing Private Companies list for the last 10+ years in a row, garnering Honoree status. CRN has also named SADA on the Top 500 Global Solutions Providers list for the past 5 years. The overall culture continues to evolve with engineering at its core: 3200+ projects completed, 4000+ customers served, 10K+ workloads, and 30M+ users migrated to the cloud.

To request reasonable accommodation to participate in the job application or interview process, contact careers@sada.com. SADA complies with federal and state/provincial disability laws and makes reasonable accommodations for applicants and candidates with disabilities.

","hiringOrganization":{"@type":"Organization","name":"SADA","sameAs":"https://sada.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Los Angeles, California, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Artificial Intelligence Solutions Architect","datePosted":"2025-08-14","description":"Artificial Intelligence Solutions Architect

Key Role:

Design and implement effective AI solution architecture or strategy utilizing approaches of various AI technologies and methods to address clients' business problems and needs while complying with the organization’s strategies, business goals, and key ethical considerations. Apply advanced consulting skills or extensive technical expertise and full industry knowledge. Develop innovative solutions to complex problems. Work without considerable direction. Mentor and may supervise team members.

Basic Qualifications:

4+ years of experience in AI or Systems or Solutions Architecture
Experience with AI and LLMs
Experience with AI or ML Frameworks such as TensorFlow or PyTorch
Experience implementing AI, ML, or LLM solutions and model deployment in AWS or Azure
Experience developing, building, and deploying automation, CI/CD pipelines, scripts, and infrastructure from the ground up using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation
Secret clearance
Bachelor’s degree

Additional Qualifications:

Experience with containerization, including Docker or Kubernetes, and serverless architectures
Cloud Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

","hiringOrganization":{"@type":"Organization","name":"Booz Allen Hamilton","sameAs":"https://www.boozallen.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA, VA, Arlington (1550 Crystal Dr Suite 300) non-client, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":26,"item":{"@type":"JobPosting","title":"Senior Artificial Intelligence Specialist","datePosted":"2025-08-18","description":"

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Enterprise Technology plays a critical part in shaping the future of mobility. If you’re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience and improve people’s lives, this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow’s transportation.

This job is posted as HYBRID, with up to four days per week onsite is required from our Dearborn, MI., offices.

The future of smart mobility hinges on the intelligent application of data, metrics, and analytics. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role. We serve as Ford's trusted advisers, providing clear insights into business conditions, customer needs, and the competitive environment. Our work empowers key decision-makers to act decisively and positively. By leveraging your expertise in data and analytics, you can contribute to timely, evidence-based decision-making.

Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. Our mission is to foster evidence-based decisions by unlocking insights from data. Our projects span various domains, including Connected Vehicle, Smart Mobility, Operations, Manufacturing, Supply Chain, Logistics, and Warranty Analytics.

We're looking for exceptional Machine Learning and AI scientists who are eager to engage in all project stages, from problem identification to model deployment. Ideal candidates are self-motivated, have a strong sense of initiative, and a lifelong passion for learning to navigate the rapidly evolving field of mobility technology. We offer the freedom to conduct original research, select the most suitable methodologies, and tackle world-class machine learning challenges.

This role involves applying AI and ML to innovate in areas such as autonomous vehicles, cybersecurity, customer interaction, and product design. You'll be part of a forward-thinking team dedicated to using AI and ML to create groundbreaking solutions and shape our strategic direction in these fields and beyond.

Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.)
Manipulate high-volume, high-dimensionality data from varying sources to expose and highlight patterns, anomalies, relationships, and trends
Apply AI and Machine Learning technology to solve complex, real-world problems
Analyze and visualize diverse sources of data, interpret results in a business context and report results clearly and concisely
Fulfill problem formulation and ML technique consulting requests in a timely manner
Communicate and present analytical models to business customers and executive management
Work collaboratively with different business partners and be able to present results in a clear and concise manner

\n\nBasic Qualifications\n\n\n

Bachelor’s degree in computer science, mathematics, statistics, operations research, or related field
Experience with the complete software lifecycle
1+ years of experience with delivering and maintaining production software products
Strong technical writing and oral communication skills
Expertise in one or more core domains involved in machine learning model deployment, including data engineering, model building, MLOps
Experience in productionizing generative AI to solve critical business problems

\n\n\n

Preferred Qualifications

Doctorate in computer science, mathematics, statistics, operations research, or related field AND 1+ year(s) data-science experience (e.g. managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master’s degree in computer science, mathematics, statistics, operations research, or related field AND 3+ year(s) data-science
OR bachelor’s degree in computer science, mathematics, statistics, operations research, or related field AND 5+ year(s) data-science experience
Experience with cloud-based deployments and best practices
Demonstrated contributions and expertise in one or more of the following AI domains:
Natural Language Processing (finetuning and distillation of LLMs, evaluation of LLM-powered applications, deploying models at scale)
Computer Vision (anomaly detection / few-shot learning, multi-sensor fusion, object detection and tracking, scene segmentation, motion planning and prediction)
Generative AI (fine tuning stable diffusion models, multi-modal large language models, generation in the 3D domain)
Physics-informed neural networks (ML for computational fluid dynamics or finite element analysis, point cloud or mesh-based neural networks, PDE surrogate modelling)

\n\n\n

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

\n • Immediate medical, dental, vision and prescription drug coverage
\n • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
\n • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
\n • Vehicle discount program for employees and family members and management leases
\n • Tuition assistance
\n • Established and active employee resource groups
\n • Paid time off for individual and team community service
\n • A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
\n • Paid time off and the option to purchase additional vacation time.

This position is a range of salary grades GSR 7-8 .

For more information on salary and benefits, click here: https://fordcareers.co/GSRSP2

\n Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

Candidates who are in commuting distance to a Ford hub location may be required to be onsite four or more days per week. #LI-Hybrid
\n

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Minimum qualifications:

Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
3 years of experience in building data and Artificial Intelligence (AI) solutions and working with technical customers.
Experience in designing cloud enterprise solutions and supporting customer projects to completion.

Preferred qualifications:

Experience in working with Large Language Models, data pipelines, and with data analytics, data visualization techniques.
Experience with Data Extract, Transform, and Load (ETL) techniques.
Experience in Large Language Models (LLMs) to deploy multimodal solutions involving Text, Image, Video and Voice.
Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform and investigative tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
Excellent communication skills.

About the job

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

In this role, you will play a role in ensuring that customers have the quality experience moving to the Google Cloud Generative AI (GenAI) and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with Generative AI (GenAI), and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. You will lead the execution of adopting the Google Cloud Platform solutions to the customer.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

Deliver big data and GenAI solutions and solve technical customer tests.
Act as a trusted technical advisor to Google’s customers.
Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders.

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Job Description

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as a Machine Learning/Artificial Intelligence Engineer, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.

To be successful as a Machine Learning/Artificial Intelligence Engineer you should have experience with:

Good years of experience in IT with background in Development, Machine Learning and/or Data analysis.
Should have hands-on experience of NLP/AI/ML tool & technologies – GPT, BERT or other language models.
Should have experience in building GenAI applications, RAG based architectures.
Experience in Model Development: Research, design, implement, and optimize machine learning models for specific use cases such as predictive analytics, NLP, computer vision, and recommender systems.
Data Preparation: Collect, preprocess, and analyze large datasets to extract meaningful insights and ensure data quality for model training.
Deployment: Build and deploy Al/ML solutions into production environments using appropriate tools and frameworks.
Knowledge of one of the cloud platforms is must : AWS/AZURE.
Collaboration: Work closely with product managers, data engineers, and software developers to integrate Al capabilities into products and ensure alignment with business objectives.
Performance Monitoring: Evaluate and monitor model performance and accuracy post-deployment, iterating to address challenges and refine models as needed.
Strong Affinity to stay informed on the latest trends, tools and research in Al and machine learning space .
Support and contribute to data collection efforts, as needed.
Verify data quality to ensure accurate analysis and reporting.
Help identify the business data needed to produce the most useful insights and future analytics.
Utilize data to make actionable recommendations at all levels.
Monitor data management processes to ensure data quality and consistency.
Monitor system performance, data integrity and usage metrics.
Contribute to data dictionary, standards, training, and ongoing updates.

Some other highly valued skills may include:

Web service development experience using REST services/APIs, JSON, XML, IVRs, Jenkins, other Cloud Platforms.
Experience in setting up DevOps pipelines.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in Pune.

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About Northern Trust:

Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.

Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.

The Risk Manager for AI will serve as a senior member of the 2LOD team, responsible for providing independent oversight, challenge, and governance of AI-related risks across the enterprise. This role will focus on ensuring that AI initiatives—particularly those involving generative models, automation, and decision-support systems—are developed and deployed in alignment with regulatory expectations, ethical standards, and internal risk frameworks. This involved carrying out complex initiatives involving multiple disciplines and/or ambiguous issues.

The ideal candidate will a will be a seasoned multi-disciplinary expert with extensive technical and / or business knowledge and functional expertise in risk avoidance and compliance, with the ability to display a balanced, cross-functional perspective, liaising with the rest of the business to improve efficiency, effectiveness and productivity.

The key responsibilities of the role include:

AI Governance & Frameworks

Contribute to the development and refinement of AI-specific risk frameworks, policies, and control standards.
Embed AI risk considerations into enterprise-wide change programs and ensure alignment with the Enterprise Change Risk Policy.
Monitor and report on the effectiveness of risk management methods and processes and make recommendations for continuous improvement for the AI risk program.
Collaborate with cross-functional teams to ensure compliance with AI risk management policies and procedures.
Stay current with industry trends and emerging threats to ensure Northern Trust’s AI risk management practices remain effective and up-to-date.

Risk Oversight & Challenge

Independently review and challenge AI risk assessments conducted by 1LOD teams, including model risk, data integrity, operational, compliance, and reputational risks.
Validate the completeness and accuracy of Level 4 risk descriptions and their alignment with the enterprise risk taxonomy.
Conduct regular assessments to evaluate the effectiveness of AI management processes including completeness and accuracy and recommend appropriate corrective action.
Develop and implement methods and processes consistent with Program strategy for managing technology risk.

Program Execution & Monitoring

Facilitate and monitor the execution of AI-related Change Program Risk Assessments (CPRA), including coordination with 1LOD and risk SMEs.
Track and report key risk indicators (KRIs), residual risk ratings, and mitigation progress using tools like RAIDD logs.
Establish and maintain key performance indicators for the operating effectiveness of the program.

Stakeholder Engagement

Partner with Legal, Compliance, Technology, and Data Governance teams to ensure AI risk posture is well understood and managed.
Represent 2LOD in AI steering committees, working groups, and executive forums.
Provide expert guidance and support to business units on AI risk management best practices.

Regulatory & Ethical Compliance

Stay abreast of evolving AI regulatory frameworks (e.g., EU AI Act, U.S. Executive Orders) and ensure internal practices remain compliant.
Promote responsible AI principles, including fairness, transparency, and accountability.

The successful candidate will benefit from having:

10+ years of experience in risk management, technology risk, or audit, with at least 3 years focused on AI, data science, or emerging technologies.
Deep understanding of AI systems, model governance, and risk frameworks.
In-depth knowledge of AI risk, including risk assessment methodologies and mitigation strategies.
Strong communication and analytical skills to engage with cross-functional stakeholders and senior leadership.
Strong analytical and problem-solving skills, with the ability to identify and address complex technology risks.

#LI-LK2, #LI-Hybrid

Salary Range:

$114,700 - 194,900 USD

Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component.

Working with Us:

As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.

Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.

We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater

Reasonable accommodation

Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com.

We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.

Apply today and talk to us about your flexible working requirements and together we can achieve greater.

","hiringOrganization":{"@type":"Organization","name":"Northern Trust","sameAs":"https://www.northerntrust.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wabash Bldg-Chgo, IL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"Postdoctoral Researcher, Artificial Intelligence (PhD)","datePosted":"2025-07-16","description":"Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research, a research organization focused on making fundamental progress in AI. Fundamental AI Research (FAIR) conducts cutting-edge research to deepen our understanding of existing AI methods and advance the state-of-the-art.

For this position, the applicant will engage with the supervisor and other researchers in Fundamental AI Research (FAIR) to develop and implement research agenda, publish world-class research works, and make external impact. You will apply high standards to the research and identify highly impactful projects in a complex and unexplored domain. You will be gain valuable experience in a top-tier research institute, publish academic papers on a regular basis, and build your reputation across the world. Postdoc research areas may include Machine Learning, Computer Vision, Natural Language Processing, or other similar fields.

Postdoc positions are one year fixed-term positions, and we have opportunities across several regions.Postdoctoral Researcher, Artificial Intelligence (PhD) Responsibilities

Perform research to advance the science and technology of intelligent machines
Collaborate with your supervisor and other researchers to discuss, develop and implement research agenda
Write and debug high-quality research code and research papers
Design and implement experiments to test research ideas on a variety of problems
High quality papers and present research at conferences

Minimum Qualifications

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in Computer Science or a similar field. Degree must be completed prior to joining Meta
Research background in Machine Learning, Natural Language Processing, Computer Vision
Experience solving analytical problems using analytic and quantitative approaches
Experience communicating research
Experience coding in C/C++, Python, C#, or other similar language
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications

Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment.
Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar).
Experience solving complex problems and comparing alternative solutions, trade-offs, and differing points of view to determine a path forward.

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
117.000 $/year to 173.000 $/year + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

","hiringOrganization":{"@type":"Organization","name":"Meta","sameAs":"https://www.meta.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Menlo Park, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"Senior Audit Manager, Artificial Intelligence","datePosted":"2025-07-15","description":"

The Commonwealth Bank of Australia (Bank) is Australia's leading provider of integrated financial services. They are committed to continuously improving governance practices and ensuring that they are aligned with business, stakeholders and customers’ needs.

In Financial Services, we support the Group’s strategy of building tomorrow’s bank today for our customers, through a focus on three key priorities of trust, resilience and capital generation. Financial Services partner with all areas of CommBank to specialist advice, support and services in finance, audit, treasury, property, procurement, climate strategy and investor relations.

See yourself in our team

Our Group Audit and Assurance (GA&A) team are the internal audit function for the Group. Their primary purpose is to provide independent and objective assurance of the effectiveness of the Groups risk management, controls and governance processes.

As part of GA&A, the Models, Data and Artificial Intelligence (AI) Audit team is focusing on Model Risk, Data & AI across CBA. The Models, Data & AI team reviews the effectiveness of the processes, controls and governance that seek to mitigate the risks associated with our internal, external and regulatory obligations for these risks. In addition, our team provides support for Business Audit teams across a wide range of Banking concepts and provide expert SME knowledge.

Do work that matters

As digital technology disrupts and transforms entire industries and ways of working, GA&A is committed to keeping pace and continually reimagining themselves with the latest global best technology and innovation. Evolving customer expectations and pace of change require GA&A to support the business with new insights and risk coverage that puts customers first and to continue to provide insightful assurance to the Board.

GA&A has increasingly embedded digital assurance into audit activities, injecting Artificial Intelligence (AI) into routine control testing and using digital tools to improve the overall experience for employees. The next phase of our transformation is enabling continuous, data driven assurance across the 3LoA.

Your team adds value by:

Ensuring the organisation is taking effective and appropriate steps to identify, address current and emerging risks in the domains of climate change, nature-related risks, biodiversity and other emerging areas of environmental risk.
Assisting Business Units focussed units to ensure effective implementation of the Group Environmental & Social policy.
Leading reviews across a diverse range of business units to assess key risks areas are identified and assessed.
Maintaining a focus on the horizon to understand the emerging and increasing regulatory, fiduciary and stakeholder focus on Environmental, Social & Governance Risks and its impact on the business.

As a Senior Audit Manager, Artificial Intelligence you will be part of a team of subject matter experts (SMEs) with a strong background in Model Risk, Artificial Intelligence, and Data Management. You and your team will provide objective assurance on the risks and controls and work closely together with the business audit teams to ensure adequate coverage is provided. Further, you will closely liaise with risk stewards, the relevant departments and line 2 to ensure appropriate coverage and continuously monitor the business.

The role involves leading and supporting data related audits and supporting as a data SME, the GA&A Retail Banking, Business Banking, Investment Banking and Compliance teams, while ensuring alignment with both local and global regulatory requirements.

The successful candidate will collaborate closely with cross-functional audit teams across Technology, Operations, Global Markets, Investment Banking, Legal and Compliance, and Finance.

We’re interested in hearing from people who will aspire to

Active management of reviews assessing Artificial Intelligence models and traditional models for accuracy, performance, regulatory compliance, and alignment with bank policies and risk appetite
Identify and evaluate model risks related to data, robustness, biases; ensure compliance.
Design and execute validation testing to challenge model assumptions and outcomes.
Ensure audit activities comply with relevant laws, regulations, and guidelines.
Collaborate with model developers and business teams to build risk-aware culture and provide guidance.
Deliver pragmatic insights, findings and improvement recommendations to stakeholders and governance committees.
Maintain relationships with leadership and regulators to progress strategic model governance.
Advise senior leadership on emerging AI risks and how to manage them.
Maintain strong relationships with the GA&A leadership team, Regulators and External Audit to gain input and buy-in to strategic initiatives.

Other qualities you may possess include

Hands-on experience in developing, validating and reviewing models.
Academic background in quantitative fields like engineering, mathematics, quantitative finance
Strong understanding of the landscape of Artificial Intelligence and model risk management including local and international regulations
Proven leadership managing audit teams and projects with model governance focus.
Excellent analytical and problem-solving skills to assess model risks.
Ability to simplify complex model concepts and effectively communicate insights.
Strong project execution skills to deliver across competing priorities.
Relationship management skills to collaborate with stakeholders

Working with us means

Whether you’re passionate about customer service, driven by data, or called by creativity, a career here is for you. At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation. Read more about our commitment to inclusion and diversity on our website.

Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive and flexible workplace. We are working hard to recruit people who represent the diversity of our customers and our society. If you're excited about this opportunity but you don't meet every single requirement, or your experience doesn't align perfectly, we still want to encourage you to send in your application. You may just be the perfect candidate for this opportunity or another within CommBank.

At CommBank we will inspire you with work that makes a difference, surround you with talented people that respect and value each other, and empower you to grow professionally and personally. Most of all, making a positive impact for customers, communities and each other is part of our every day.

We’re determined to make a real difference for Australia’s first peoples. We encourage all interested applicants to apply. If you’re already part of the Commonwealth Bank Group (including BankWest), you’ll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

**Apply Now to live your best life, by doing your best work with us! **

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

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Official Internal Job Title:

Developer Analyst - MLOps Artificial Intelligence

Status:

Temporary (Fixed Term)

Job Description:

Relevant de la directrice – Hyperautomatisation et intelligence artificielle, le développeur MLOps œuvre dans les pratiques du développement de « Machine Learning », dès la capture du besoin d’affaires, en passant par la préparation de données et de modèles en intelligence artificielle jusqu’à son déploiement en production. Il participe activement à la compréhension des requis affaires et des processus à optimiser. Il agit à titre d’expert de pointe dans le domaine technologique de l’intelligence artificielle pour la conception, le développement, l’évaluation et la maintenance de solutions d’intelligence artificielle pour des activités d’affaires diversifiées telles que les affaires numériques, le marketing et ventes, l’actuariat, et les équipes opérationnelles. Sa contribution touche l’ensemble des champs d’activités Beneva tels que l’assurance de dommages, l’assurance collective, l’assurance voyage, l’assurance individuelle et les produits d’investissement. Le développeur MLOps assume ainsi un rôle transversal de bout en bout pour l'ensemble des secteurs d’activités de Beneva dans la mise en place de solutions d’intelligence artificielle.

Responsabilités générales

Participe à la capture du besoin d’affaires et amène son expertise dans l’optimisation des processus par une vision des capacités offertes dans le domaine de pointe de l’intelligence artificielle
Contribuer à la conception / au développement / à l’évaluation / à la maintenance de solutions d’intelligence artificielle
Prendre les décisions et assurer la mise en œuvre de la cible d’architecture technologique MLOps nécessaire à l’opérationnalisation des solutions d’intelligence artificielle
Agir comme référence pour les technologies Anaconda Entreprise, AWS Sagemaker, MLFlow et Python/R/SQL nécessaire pour concevoir et opérationnaliser les solutions basées sur l’intelligence artificielle
Prendre en charge les travaux de préparation de données (structurées et non-structurées) complexes avec le framework d’ingénierie de données DWA
Explorer et mettre en œuvre l’utilisation des services API disponibles sur un Cloud ou des librairies open-source pour développer les solutions d’intelligence artificielle
Collaborer aux différents projets de veille, expérimentation et amélioration des technologies, modèles d’intelligence artificielle, langages, logiciels et outils de développement utilisés par l’équipe
Exercer un rôle-conseil en tant que référent sur les technologies MLOps ; être garant de l’application des règles d’architecture préalablement définies et la bonne utilisation des technologies
Assurer la formation et le coaching des nouveaux équipiers : « pair programming », formation sur l’architecture MLOps, encadrement et suivi de l’évolution de leurs travaux techniques
Être responsable de dossiers spéciaux : CI/CD, déploiement, environnements, preuve de concept, autres
Veiller au bon fonctionnement, à l’évolution, à la cohérence et à la performance de l’écosystème MLOps incluant les modèles d’intelligence artificielle
Participe à la coordination des activités en assurant, entre autres, le lien avec les autres parties prenantes de l’écosystème au besoin : autres équipes de réalisation TI, équipes opérationnelles, sécurité, conformité, réseau, infrastructure, etc.

Qualifications

1 à 8 années d’expérience en tant que développeur Intelligence Artificielle ou données (selon le niveau du candidat recherché)
Maitriser l’anglais et le français tant à l’oral et qu’à l’écrit
Baccalauréat en informatique, mathématique ou l’équivalent dans les domaines de l’intelligence artificielle
Maîtrise un atout

Qualifications spécifiques

Avoir de l’expérience dans la réalisation de projets en intelligence artificielle
Avoir des connaissances approfondies des concepts d’intelligence artificielle : concepts de régression linéaire, de série chronologique, de réseau de neurones, d’arbres de classification/régression, d’inférence bayésienne, de machine à vecteurs de support et autres techniques de machine learning
Comprendre les enjeux liés à la préparation de données pour l’intelligence artificielle
Avoir une bonne maîtrise des bonnes pratiques en ingénierie logicielle pour structurer du code source
Avoir des connaissances importantes en ingénierie de données
Détenir une bonne connaissance des langages Python et/ou R
Avoir une bonne maîtrise de AWS Sagemaker ou Anaconda (version Entreprise)
Avoir de l’expérience avec l’opérationnalisation de modèles d’intelligence artificielle avec MLFlow
Démontrer les connaissances approfondies avec des outils et des pratiques de DevOps (GitHub, jenkins) et de la contenarisation (Kubernetes)
Avoir une expérience pratique dans le développement et la maintenant d’API REST
Détenir une expérience avec des services « cognitives » ou analytiques disponible sur le Cloud

#LI-Hybrid

Beneva is an equal opportunity employer, so we encourage all Women, persons with disabilities, Indigenous people as well as visible and ethnic minorities to apply.

Purpose : True to its purpose, Beneva places people at the heart of its actions and contributes to the well-being of the community. It accompanies its clients in all stages of their lives, both for their insurance and for their financial services.

Follow us on Instagram !

@beneva.ca

","hiringOrganization":{"@type":"Organization","name":"Beneva","sameAs":"https://www.beneva.ca/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Quebec - 2525 boul Laurier - 35h, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Internship - Corporate Communication & Artificial Intelligence","datePosted":"2025-07-15","description":"

📍 WTC Schiphol Office, Amsterdam

📅 September 1st, 2025 - end date flexible (minimum duration 3 months)

Do you have a passion for communication and a fascination with artificial intelligence? Would you like to work directly with the Chief Communication and Brand Officer of Aegon on forward-looking projects exploring how AI is transforming the communications function? Then this joint internship with Aegon and the Scriptorium Initiative could be the perfect opportunity for you.

About the Organizations:

Aegon’s Corporate Communication & Brand department focuses on building and maintaining a strong reputation and distinctive brand for Aegon and its subsidiaries—across both internal and external stakeholders—to support the company’s strategic objectives.

The Scriptorium Initiative is a non-profit think tank exploring how AI is reshaping human communication. By bringing together communication leaders, technologists, and researchers, the SI helps organizations navigate emerging challenges in language, trust, and meaning—bridging innovation with human-centered thinking.

Role Purpose & Position:

We are seeking a motivated, adaptable, and enthusiastic intern with a strong interest in artificial intelligence and its impact on the communication function.

In this role, you will work closely with Nanne Bos, Chief Communication and Brand Officer at Aegon and co-founder of the Scriptorium Initiative. This internship offers a unique opportunity to contribute to the strategic development of the Scriptorium Initiative and work closely with Aegon’s communication team to explore how AI can enhance messaging, workflows, and stakeholder interaction. While your focus will be on AI and communication, you’re welcome to explore other projects handled by Aegon’s communication team, depending on your interests.

You’ll be juggling both creative and time-sensitive tasks, so the ability to manage multiple responsibilities and deadlines is essential.

Key responsibilities include:

Supporting strategic planning and the long-term development of the Scriptorium Initiative.
Assisting with the organization and execution of SI-hosted conferences and events.
Contributing to content creation, including writing and editing articles.
Providing administrative support (e.g. scheduling, document preparation, operational coordination).
Supporting Aegon’s communication team on various AI related projects.

Qualifications:

Currently enrolled in a relevant university-level or HBO program (e.g., communications, media, branding, creative business).
Available to start September 1st, 2025, for a period of at least 3 months.
Able to work full time, ideally at least 3 days per week from our Amsterdam office.
Strong communication and organizational skills.
Ability to work independently and as part of a team.
Creative thinking and problem-solving skills, with an interest in emerging technologies.
Native or near-native English.

Terms:

The internship stipend is 650 EUR per month.
A personal laptop is provided for the length of your internship.
Personal guidance.
You will need a Dutch BSN-number and Dutch bank account.
If you are a non-EU/EER student, you will need a valid residence permit stating you may work (“arbeid vrij toegestaan”).

Applications that do not fulfill these criteria can unfortunately not be taken into consideration.

About Aegon:

As an international financial services group, we unite a diverse range of businesses that, together, help millions of people around the world live their best lives by offering a broad mix of investment, protection, and retirement solutions. We create long-term value for our shareholders and other stakeholders through fully owned businesses, partnerships, and strategic shareholdings. Our portfolio includes fully owned subsidiaries in the US and UK, and a global asset management business; as well as partnerships in Brazil, China, France, Spain and Portugal. In the Netherlands, we generate value through our strategic shareholding in a market-leading insurance and pensions company.

Enthusiastic? Apply!

Are you enthusiastic about this role do you think that Aegon is a good fit for you? Then we invite you to apply now

LI-DK1

LI-Hybrid

","hiringOrganization":{"@type":"Organization","name":"Aegon","sameAs":"https://www.aegon.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"NLD Schiphol, Netherlands","addressCountry":"The Netherlands","addressRegion":"Europe"}}}},{"@type":"ListItem","position":34,"item":{"@type":"JobPosting","title":"Generative Artificial Intelligence Integration Lead","datePosted":"2025-06-29","description":"

Our team pioneers responsible generative AI in Home Lending. We operate across three pillars: Integration, Solutions, and Governance, with the aim of accelerating the integration of emerging AI tools while maintaining the guardrails required for enterprise innovation.

As a Generative Artificial Intelligence Integration Lead in Home Lending, you will motivate employees to use AI on the job, deliver applied AI skill-building content and workshops, craft hands-on prototypes that demonstrate what is possible with emerging AI skills and tools, and cultivate a network of AI builders across the organization.

Job Responsibilities

Drive usage of AI tools by employees through workshops, content, and interactive demos.

Train and serve a cohort of certified AI practitioners throughout the business.

Build functional generative AI prototypes while navigating the robust controls environment.

Produce and manage content for our internal AI Hub.

Partner with Governance, Business, and Tech teams.

Research and test the latest tools and methods in the fast-changing world of AI.

Required qualifications, capabilities, and skills

3+ years of experience helping businesses integrate emerging technology.

Proven ability to self-educate on emergent technology and apply it in business contexts.

Demonstrated experience crafting content and facilitating workshops that advance mindsets and skillsets in the workplace.

Preferred qualifications, capabilities, and skills

You have an ever-growing portfolio of AI projects you are working on.

You are a thought leader on social media or in offline communities.

You have built and scaled enablement or accelerator programs.

You have a mix of experience across startups and enterprise.

You are opinionated about what good looks like with flexibility about how we get there.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":35,"item":{"@type":"JobPosting","title":"Junior Policy Analysts - Artificial Intelligence","datePosted":"2025-08-07","description":"

Company Description

The Organisation for Economic Co-operation and Development (OECD) is an international organisation comprised of 38 member countries, that works to build better policies for better lives. Our mission is to promote policies that will improve the economic and social well-being of people around the world. Together with governments, policy makers and citizens, we work on establishing evidence-based international standards, and finding solutions to a range of social, economic and environmental challenges. From improving economic performance and creating jobs to fostering strong education and fighting international tax evasion, we provide a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting.

The Science, Technology and Innovation (STI) Directorate, in line with the strategic objectives of the Secretary-General, helps OECD member countries and other key economies build an environment conducive to translating science, technology and knowledge into innovation in order to create economic and social value added.

The Artificial Intelligence and Emerging Digital Technologies Division (AIEDT) Division of STI is responsible for undertaking empirical and policy work on AI and emerging technologies including the implementation of the OECD Recommendation on Artificial Intelligence (OECD AI Principles). It includes the OECD.AI Policy Observatory that provides digital products and resources, and builds international dialogue to examine AI policy issues and trends to support countries. The Division is also responsible for the Global Forum on Technology (GFTech). The GFTech provides a venue for regular in-depth dialogue to foresee and get ahead of long-term opportunities and risks presented by technology and facilitates inclusive, in-depth, multi-stakeholder and values-based discussions on specific technology policy topics among OECD Members and partners, responding to gaps in existing fora.

The Observatory supports the work of the Digital Policy Committee (DPC), the Global Partnership on AI (GPAI) and the Working Party on AI Governance (AIGO), including through convening and coordinating a global Network of Experts on AI (ONE AI) and several topic-specific expert groups on AI risk and accountability, AI incidents, AI compute, and AI futures.

STI/AIEDT is looking for Junior Policy Analysts to support its work on AI policy, notably regarding the OECD.AI Policy Observatory, GPAI, AIGO and ONE AI. The selected person(s) will work under the supervision of the Head of Unit in charge of the AI policy work, under the direction of the Head of the AIEDT Division in STI or under the direction of the Head of the AIEDT Division in STI, depending on the topics.

Job Description

Main Responsibilities

Research, analysis and drafting

Carry out policy analysis on topics covered by the GPAI, the AIGO and the OECD.AI Network of Experts on AI related to AI policy and regulation, e.g. AI national policy and regulatory developments, AI risk approaches and accountability mechanisms, AI incidents reporting and analysis, AI foresight work, trends analysis, and emerging technological developments.
Assist with and carry out research on AI policy, governance, including comprehensive country and regional reviews.
Draft, provide input to and support the preparation of reports in these areas with the contribution of team members and of AI experts.
Support the maintenance and development of policy databases.

Co-ordination, meetings and liaison

Assist in the planning and the organisation of meetings of national government delegates and experts from the private sector, civil society, trade unions, the technical community and academia in connection with the Organisation’s work programme.
Support the coordination of horizontal and multi-disciplinary projects and activities within STI and the OECD.
Assist in the organisation and preparation of AIGO and GPAI-related meetings and workshops, including expert groups as relevant. Prepare presentation materials and documents as required.
Liaise with national contact points, delegates, experts and organisations.

Qualifications

Ideal Candidate Profile

Academic Background:

An advanced university degree in law, economics, computer science, or a related subject.

Professional Background:

A minimum of two years' experience in policy analysis, with in-depth knowledge of digital policy, technology governance, and AI regulatory frameworks.
A demonstrated ability to prepare written inputs of a consistently high quality, including for international audiences, and co-ordinate effectively with colleagues and stakeholders.
Experience in synthesising policy-oriented analysis and in compiling and presenting briefing material and speeches to higher-level officials.

Languages:

Fluency in one of the two OECD official languages (English and French) and knowledge of the other, with a commitment to reach a good working level.

Core Competencies

OECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring processes: Vision and Strategy (Level 1); Enable People (Level 1); Ethics and Integrity (Level 1); Collaboration and Horizontality (Level 2); Achieve Results (Level 1); Innovate and Embrace Change (Level 2).
There are three possible levels for each competency. The level for each competency is determined according to the specific needs of each job role and its associated grade.
To learn more about the definitions for each competency for levels 1-3, please refer to OECD Core Competencies.

Additional Information

Contract Duration

This vacancy will be used to fill multiple positions. The appointment type will be determined based on the needs of the Directorate and will be confirmed when an offer of employment is made to the selected candidate.

Closing Date

This vacancy should be filled as soon as possible, and applications should reach us no later than 23h59 (Paris time) on 31 August 2025.

Please note that our Rules and Regulations stipulate that the mandatory retirement age is 67.

What the OECD offers

Monthly salary starts at 5,902 EUR, plus allowances based on eligibility, exempt of French income tax.
Click here to consult the Staff Regulations applicable to officials of the OECD. Please note that from 1 July 2025, all Official appointments will be made under the OECD’s new contractual modalities.
Click here to learn more about what we offer and why the OECD is a great place to work.
Click here to browse our People Management Guidebook and learn more about all aspects relating to people at the OECD, our workplace environment and many other policies supporting staff in their daily life.
Please note that the appointment may be made at one grade lower in the specified job family, based on the qualifications and professional experience of the selected applicant.
This vacancy may be used to create a pool of candidates for comparable positions, both for open-ended and fixed-term functions.

Selection Process

For retained candidates, the selection process may include a video-recorded interview, job-based assessment and panel interviews.
\n
\nThe OECD is an equal opportunity employer and welcomes the applications of all qualified candidates who are nationals of OECD or GPAI member countries, irrespective of their racial or ethnic origin, opinions or beliefs, gender, sexual orientation, health or disabilities.

","hiringOrganization":{"@type":"Organization","name":"OECD","sameAs":"https://www.oecd.org"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Paris, IDF, France","addressCountry":"France","addressRegion":"Europe"}}}},{"@type":"ListItem","position":36,"item":{"@type":"JobPosting","title":"Artificial Intelligence & Machine Learning Architect","datePosted":"2025-08-07","description":"

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

BI Full 6C (T4)

Job Family:

Artificial Intelligence

Job Qualifications:

Skills:

Artificial Intelligence (AI), Cloud Development, Machine Learning

Certifications:

None

Experience:

15 + years of related experience

US Citizenship Required:

Job Description:

Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Expert supporting Case Management Modernization (CMM) Program The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The AI/ML Architect will work as part of an agile development team to build and support the modernization of enterprise-class software applications.

RESPONSIBILITIES:

Define, document, and maintain a scalable, modular AI/ML architecture that aligns with enterprise cloud strategy and product requirements for the CMM initiative
Architect and implement end-to-end AI/ML pipelines including data ingestion, feature engineering, model training, deployment, monitoring, and retraining.
Integrate MLOps best practices for continuous integration, delivery, and lifecycle management of machine learning models
Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient
Leverage Infrastructure-as-Code (IaC) tools to provision and manage cloud-based AI/ML infrastructure in accordance with federal compliance and security standards
Design and support reusable, secure, and performant AI/ML services and APIs to be consumed by enterprise applications
Conduct model validation and optimization in cloud environments, ensuring responsible AI practices, fairness, and transparency
Maintain AI/ML architecture documentation and update artifacts per sprint cycles or as changes occur
Support the inclusion of AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports
Guide teams on the selection and integration of third-party ML tools, frameworks, or SaaS offerings in a secure and compliant manner

REQUIRED EXPERIENCE & QUALIFICATIONS:

BA/BS or Master's of Arts or Science in related field, preferred
15+ years of specialized experience in information systems required
Experience may be considered in lieu of degree as follows: HS (19+ years), AA/AS (17+ years), BA/BS (15+ years), Doctorate Degree/Ph.D. (12+ years)
Proven success in architecting and deploying ML workflows in cloud environments (AWS SageMaker, Azure ML, GCP Vertex AI)
Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras
Strong programming skills in Python, with experience in containerization (Docker) and orchestration (Kubernetes) for ML workloads
Experience with MLOps tools (MLflow, Kubeflow, TFX, Airflow) and CI/CD integration for model deployment
Familiarity with federal data governance, security, and privacy standards, including JISF, NIST 800-53, and FedRAMP
Proficient in using IaC tools such as Terraform, CDK, or CloudFormation to automate cloud ML infrastructure
Experience with multi-tenant, distributed systems, and cloud-native architecture patterns
Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, or equivalent preferred

Must be US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, US Citizen)

GDIT Is Your Place:

401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Rest and recharge with paid vacation and holidays

The likely salary range for this position is $166,816 - $218,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

Travel Required:

None

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans","hiringOrganization":{"@type":"Organization","name":"General Dynamics Information Technology","sameAs":"https://www.gdit.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"USA LA Home Office (LAHOME), United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":37,"item":{"@type":"JobPosting","title":"Artificial Intelligence Portfolio Manager (Hybrid)","datePosted":"2025-08-05","description":"This role is responsible for managing the portfolio of Artificial Intelligence initiatives across the enterprise, ensuring alignment with Eversource’s AI strategy, governance model, and capital investment structure. The Artificial Intelligence Portfolio Manager will work across business and technical teams to intake, prioritize, and oversee delivery of initiatives that leverage machine learning (ML), large language models (LLMs), and Retrieval-Augmented Generation (RAG) to improve operational efficiency, customer experience, and decision-making. This role requires familiarity with AI development life cycles, including data readiness, model training and evaluation, and AI infrastructure such as vector databases, orchestration layers, and secure API integrations. The Portfolio Manager will play a key role in enabling the adoption of responsible and scalable AI products across Eversource, in collaboration with IT, architecture, compliance, and business sponsors.

This is a hybrid role. The first three months are fulltime in the office.

Essential Functions:

Serves as the IT point of contact and the primary interface on all initiatives in the business area project portfolio.
Preparation, socialization, finalization of portfolio timelines and plans working with stakeholders in the organization.
Ensures integration across related projects in the portfolio through collaboration with peers, stakeholders and leadership.
Identifies and manages cross-project risks and issues through the development and execution of alternatives and mitigation strategies.
Influences and coordinates resource reallocations to assure portfolio success.
Develops and implements alternatives and/or solutions to mitigate problems, issues, conflicts, etc.
Directs and coaches project managers to ensure on time completion and project goals.
Advocates and supports the policies, processes and practices of the Program Management Office (PMO).
Monitors, communicates, and positively influences project portfolio schedules, budgets, variance and metrics.

In the role of project manager:

Coordinates preparation of statements of work and specifications, estimation of product / service costs and pricing, and negotiation and administration of contracts.
Develops and oversees procedures for changing scope and customer acceptance throughout the project.
Develops and communicates plans to deliver major IT initiatives to the IT and business communities; devises the summary and detailed project plans including tasks and interdependencies, milestones, people required including skill levels, and other resource and support requirements.
Develops the project managerial approach, including roles of any subordinate project managers, training needs for the project team, administrative reporting structure of the project, organization of the project team, involvement of customers and other stakeholders, and the nature of the arbitration process to resolve disputes.
Outlines the responsibilities of different principals / parties including customers, customer and IT management, team members, IT support groups, vendors, consultants, and affected or impacted groups.
Negotiates IT’s interests and manage external vendor, contractor and material contracts.
Monitors project budget and resource levels and advises principals as to developing trends and prepare periodic variance projections.
Ensures that all training and transition management activities are in place for the transition to operational support both Business and IT, including coordinating process redesign, new procedures and acceptance of new technologies and/or capabilities into daily use.

Technical Knowledge/Skill/Education/Licenses/Certifications:

Exhibits an exceptional degree of ingenuity, creativity and/or resourcefulness.
Applies extensive organizational and/or project management expertise and has full knowledge of other related disciplines.
May be viewed as expert within a given field.

Education:

Baccalaureate degree, preferably in IT or the equivalent IT experience

Experience:

10+ years of senior level IT Project Management experience required
Minimum of 2 years of Portfolio Management experience desired

Licenses & Certifications:

Certification - Must possess a Project Manager certification (as prescribed by the Program Management office)

Working Conditions:

Must be available to work emergency restoration assignment as required.
Must be available to travel between MA/CT/NH as necessary.

#corpajd

#LI-KS1

Competencies:

Build trusting relationships

Manage and develop people

Foster teamwork and cross-functional collaboration

Lead change

Communicate strategic vision

Create an engaged workforce

Focus on the customer

Take ownership & accountability

Compensation and Benefits:

Eversource offers a competitive total rewards program. Check out our careers site for an overview of our benefits programs. Salary is commensurate with your experience. This position is eligible for a potential incentive. The annual salary range for this position is:

$154,970.00-$172,190.00

Worker Type:

Regular

Number of Openings:

Emergency Response:

Responding to emergency situations to meet customers’ needs is part of every employee’s role. If employed, you will be given an Emergency Restoration assignment. This means you may be called to assist during an emergency outside of your normal responsibilities, work hours and location.

EEO Statement:

Eversource Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, sexual orientation, gender identity, national origin, religion, disability status, or protected veteran status.

VEVRRA Federal Contractor

","hiringOrganization":{"@type":"Organization","name":"Eversource Energy","sameAs":"https://www.eversource.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Westwood, MA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":38,"item":{"@type":"JobPosting","title":"Digitalization and Artificial Intelligence Engineer","datePosted":"2025-08-04","description":"

Title:

Digitalization and Artificial Intelligence Engineer

Belong, Connect, Grow, with KBR!

The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals.

KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.

We are urgently seeking a Digitalization and Artificial Intelligence Engineer to be based in Spain Location in the EPC contractor’s office for an Offshore client.

Job Title: Digitalization and Artificial Intelligence Engineer

Location: Madrid, Spain
Project: LZ LTDP-1
Department: Engineering / Digital Transformation
Reports To: Project Manager

Job Description:

Review the Asset Design with respect to Digital and AI gaps. The engineering design review includes whole asset from Well downhole to facilities and to oil export. Digital and AI review shall include all domains from production to operations, maintenance, integrity, HSE, logistics etc. AI design review includes the review of instrumentation at assets, closed loops at process facilities, process optimization, edge computing, autonomous operations, predictive maintenance, automated data QC validation, robotics, drones, smart HSE protocols etc. Identify the AI use cases and provide recommendations to deploy AI enabled technologies at wellheads and facilities. Ensure the recommendations are implemented by Contractors and vendors. Lead the Digital and AI design thinking workshops and provide the recommendations Evaluation of AI technologies provided by OEMs and vendors. Evaluate the value realization from those technologies and ensure the compliance as per Autonomous operations requirements. Work with all business units within ADNOC to ensure the AI technologies add value to their day-to-day operations Liaise with Instrumentation and control OEMs to ensure the integration of new AI apps with existing systems Liaise with IT and OT teams to deploy the AI enabled technologies and their integration keeping compliance with Cybersecurity protocols.

Key Responsibilities:

Design & Engineering

Develop and maintain the Digital and AI Design Philosophy and Design Basis in alignment with ADNOC standards.
Prepare and issue digital design documentation including specifications, data sheets, and functional requirement catalogues.
Identify and select appropriate digital and AI technologies for implementation.

Integration & Implementation

Define and implement integration strategies with existing ADNOC systems such as Panorama.
Ensure seamless integration of various digital solutions into a common user-friendly platform.
Design plant facilities to accommodate selected digital and AI technologies.

Infrastructure & Compliance

Identify required IT infrastructure and ensure compliance with:
- Wireless Infrastructure (AGES-SP-12-003)
- Wireless Instrumentation System (AGES-SP-04-019)
Ensure cybersecurity compliance for autonomous operations with Cyber Security Design (CSD).

Execution & Commissioning

Oversee procurement, installation, testing, and commissioning of digital and AI solutions.
Prepare and manage detailed implementation schedules including PO placements, FAT/SAT, and site installation timelines.

Technology & Innovation

Promote adoption of edge computing and autonomous operation programs.
Interface with AIQ products, RoboWell (AWC), ESP, AR360, Machinery Lab, and Neuron Project.
Integrate drones and robotics as part of the digitalization scope.

Guidelines & Standards

Ensure adherence to ADNOC’s AI P5 Guidelines and instrumentation standards:
- Wells & Surface Facilities Instrumentation
- Real-time Data Mapping
- Domain Data Requirements
- Collaborative Working Environment
- Change Management & Communication
- Telecommunication Infrastructure

Qualifications & Experience:

Bachelor’s or Master’s degree in Engineering, Computer Science, or related field.
Minimum 8 years of experience in digitalization, AI integration, or smart plant technologies within oil & gas or industrial sectors.
Proven experience in EPC project environments and multi-disciplinary coordination.
Strong knowledge of industrial automation, edge computing, and AI platforms.
Familiarity with ADNOC systems and standards is highly desirable.

Skills & Competencies:

Strong analytical and problem-solving skills.
Excellent communication and documentation abilities.
Project management and scheduling expertise.
Ability to work collaboratively across disciplines and with subcontractors.
Cybersecurity awareness and data governance understanding.

","hiringOrganization":{"@type":"Organization","name":"KBR, Inc.","sameAs":"https://www.kbr.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"ADNOC, ARE, Abu Dhabi, Corniche Road West, Abu Dhabi, United Arab Emirates","addressCountry":"United Arab Emirates","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":39,"item":{"@type":"JobPosting","title":"Data and Artificial Intelligence Architect","datePosted":"2025-08-08","description":"

The West Kowloon Cultural District Authority welcomes exceptional talent with a passion to realise the vision and mission of making the West Kowloon Cultural District a prime local and international destination for arts, culture and entertainment.

You will be responsible for:

formulating the enterprise data architecture and development roadmap to underpin the business strategic initiatives and overall Enterprise Architecture (EA) framework of WKCDA;
institutionalizing data governance, design principles, standards and operational models for the Authority;
leading in the establishment of the Governance Council for the development of Data & Artificial Intelligence (AI) governance strategy including but not limited to setting up ethical principles, defining ownership and stewardship of data and models, enacting data and privacy protection policies, proposing engagement and accountability mechanisms regarding data and AI technology adoption;
operationalizing data and AI architectural design principles and governance requirements into practical guidelines to steer technology and operational decisions;
recommending patterns and techniques used to design and build industry-scale data hub solutions for exchanging data with the business applications and data products within the Authority
identifying and providing expert advice on technical best practices, potential risks avoidance and mitigation measures with regard to data and AI related domains;
nurturing project team members on the value of data governance and establish best practices that guide technology decisions for the Authority;
ensuring data and AI architecture design artifacts are documented in a structured fashion, in adherence with the EA framework, to enable sharing and drive reuse; and
keeping abreast of the latest trends in data and AI related technologies, ensure timely exploration and proactively communicate potential value cases.
performing any other duties from time to time as reasonably assigned by the Authority.

You should:

possess a recognised university degree or above in computer science, information systems or equivalent;
have a minimum 10 years of IT experience with at least one year in Data Architect related roles, preferably supporting large-scale strategic programs or projects;
have proven experience in architecting and developing large-scale data hub, big data analytics and other data service applications or software systems;
have practical experience in developing, implementing, or applying AI technologies or products for enterprise use cases;
possess practical experience in steering AI technology adoption, with a firm grasp of related applications and techniques including but not limited to federated learning, model training and development;
be familiar with enterprise data modelling, data life cycle management and data-related technologies, including but not limiting to big data platforms, data analytics tools, data visualization and dashboards;
be well conversant with data governance and privacy protection legislations and policies;
have good understanding of IT governance and enterprise architecture frameworks, and preferably be certified with relevant qualifications such as TOGAF;
demonstrate the passion and ability to learn and adapt to new technologies;
exhibit strong leadership and communication skills with the ability to influence stakeholders up to the executive level;
be technically creative, analytical with a methodical approach in problem solving;

be able to build good relationships with different stakeholders across the organisation; and
be proficient in written and spoken English and Chinese.

For interested parties, please submit your application with detailed CV on or before following date. Applicants are encouraged to submit their applications as soon as possible. The review of applications will continue until post is filled.

22-08-2025

Data collected will only be used for job application processing. Your data may be accessed by our appointed recruitment consultants who have agreed to keep confidence of all personal data in not less than the standards applicable to us. Applicants not being invited for interview within 4 weeks from the submission date may assume their applications unsuccessful.

All related information will be kept up to 24 months and all personal data will be destroyed afterwards.

For more information, please visit https://www.westk.hk or contact:

Jason Wong /+852 22000285

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The IT Analyst, Artificial Intelligence (AI) will support the deployment of scalable infrastructure, reusable components, and integrations supporting our enterprise-wide AI tools and platforms. This role will play a key part in building out our internal AI Hub intelligence augmentation capabilities, with a focus on enabling and expanding our enterprise Microsoft Copilot Chat and ChatGPT platform, internal Generative Artificial Intelligence (GenAI) tools, and long-term service capabilities. The role contributes to the planning, financing, implementation, and scaling of core AI services that support intelligence augmentation across the business. It focuses on operating, optimizing, and analyzing AI systems and operations to enhance business performance.

Essential Functions:

Support the design, develop, and maintain AI Hub intelligent augmentation tools and implement strategies
Build scalable frameworks and shared services to support secure, compliant GenAI use across Eversource.
Support custom development of AI-powered applications, tools, and endpoints supporting internal teams and users.
Drive to enable and extend Enterprise ChatGPT and custom GPT capabilities (e.g., RAG, vector search, plugins).
Implement scalable systems that follow security, monitoring, and cost optimization best practices.
Partner with AI Architects, DevOps, and Eversource Architects to define infrastructure standards and deployments.
Implement observability into AI services (e.g., logging, telemetry, performance metrics) to ensure maintainability and traceability.
Evaluate and assess solutions with external APIs, AI model providers, and data services.
Contribute to documentation and support knowledge transfer across engineering and AI delivery teams.
Stay current on emerging trends in MLOps, LLM integration, and AI infrastructure scaling strategies.

Technical Knowledge/Skill/Education/Licenses/Certifications:

Technical Knowledge/Skill:

Familiarity with AI models and deployment best practices.
Familiarity with DevOps pipelines, CI/CD tools, and infrastructure-as-code frameworks (e.g., Terraform, Bicep, or ARM templates).
Familiarity with capital project management, design, and approvals.
Ability to learn debugging, testing, and documentation skills; ability to work independently in a fast-paced, iterative environment.
The ideal candidate will have a strong analytics background, a understanding of cloud-native infrastructure (Azure preferred), and hands-on experience working with AI models, APIs, or platform.

Education:

• Bachelor’s degree in Computer Science, Software Engineering, Business or a related field.

Master’s degree preferred.

Experience:

Minimum of three (3) years of experience in software engineering, with at least 1+ year focused on AI exposure.
Hands-on experience with AI/ML platforms, OpenAI or MS Copilot Chat.
Deep familiarity with cloud-native architectures (preferably Azure).
Experience working in an Utility IT Department.

Licenses & Certifications:

Azure Fundamentals Certification

Working Conditions:

Must be available to work emergency restoration assignment as required.
Must be available to travel between MA/CT/NH as necessary.

#LI-KS1#corpajd

Competencies:

Build trusting relationships

Manage and develop people

Foster teamwork and cross-functional collaboration

Lead change

Communicate strategic vision

Create an engaged workforce

Focus on the customer

Take ownership & accountability

Compensation and Benefits:

$87,230.00-$96,920.00

Worker Type:

Regular

Number of Openings:

Emergency Response:

EEO Statement:

VEVRRA Federal Contractor

","hiringOrganization":{"@type":"Organization","name":"Eversource Energy","sameAs":"https://www.eversource.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Westwood, MA, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Artificial Intelligence & Machine Learning Architect","datePosted":"2025-08-13","description":"

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

BI Full 6C (T4)

Job Family:

Artificial Intelligence

Job Qualifications:

Skills:

Artificial Intelligence (AI), Cloud Development, Machine Learning

Certifications:

None

Experience:

15 + years of related experience

US Citizenship Required:

Job Description:

RESPONSIBILITIES:

Define, document, and maintain a scalable, modular AI/ML architecture that aligns with enterprise cloud strategy and product requirements for the CMM initiative
Architect and implement end-to-end AI/ML pipelines including data ingestion, feature engineering, model training, deployment, monitoring, and retraining.
Integrate MLOps best practices for continuous integration, delivery, and lifecycle management of machine learning models
Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient
Leverage Infrastructure-as-Code (IaC) tools to provision and manage cloud-based AI/ML infrastructure in accordance with federal compliance and security standards
Design and support reusable, secure, and performant AI/ML services and APIs to be consumed by enterprise applications
Conduct model validation and optimization in cloud environments, ensuring responsible AI practices, fairness, and transparency
Maintain AI/ML architecture documentation and update artifacts per sprint cycles or as changes occur
Support the inclusion of AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports
Guide teams on the selection and integration of third-party ML tools, frameworks, or SaaS offerings in a secure and compliant manner

REQUIRED EXPERIENCE & QUALIFICATIONS:

BA/BS or Master's of Arts or Science in related field, preferred
15+ years of specialized experience in information systems required
Experience may be considered in lieu of degree as follows: HS (19+ years), AA/AS (17+ years), BA/BS (15+ years), Doctorate Degree/Ph.D. (12+ years)
Proven success in architecting and deploying ML workflows in cloud environments (AWS SageMaker, Azure ML, GCP Vertex AI)
Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras
Strong programming skills in Python, with experience in containerization (Docker) and orchestration (Kubernetes) for ML workloads
Experience with MLOps tools (MLflow, Kubeflow, TFX, Airflow) and CI/CD integration for model deployment
Familiarity with federal data governance, security, and privacy standards, including JISF, NIST 800-53, and FedRAMP
Proficient in using IaC tools such as Terraform, CDK, or CloudFormation to automate cloud ML infrastructure
Experience with multi-tenant, distributed systems, and cloud-native architecture patterns
Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, or equivalent preferred

Must be US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, US Citizen)

GDIT Is Your Place:

401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Rest and recharge with paid vacation and holidays

Scheduled Weekly Hours:

Travel Required:

None

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Who we are looking for:

This is a AI-ML Developer position in Automation/Artificial Intelligence team. Our primary objective is to drive A/AI efforts across STT’s processes and functions; partner with business and technology teams to design and implement transformational A/AI across people, process and technology. As a member of the Global AI Team, the incumbent will partner with stakeholders across different business teams & regions, to identify opportunities, develop cutting edge technology solutions & work with business units and various other stakeholders to improve the efficiency & effectiveness of their processes, using levers Artificial Intelligence.

What you will be responsible for:

As an Officer you will contribute individually as well as lead projects through your full-stack development and architecture expertise. This position requires a demonstrated excellence in system design and architecture, as well as Individual contributions in development. You will work closely across business and IT, strong communication skills are necessary.

Collaborate/Lead Development projects independently and work with Business, IT and Infrastructure teams.
Work with a team of data scientists, machine learning engineers, software engineers and QA engineers.
Drive rollout & deployment of “self-service” technology platforms.
Create MVPs; to assess feasibility and drive the automation strategy, to include all aspects of automation, AI and ML.
Work with project management facilitating development, managing sprints.
Work with Enterprise Architecture to present and review solution designs conforming to EA standards.
Create materials required to support future state execution (eg: Design and development artifacts, JIRA stories etc)
Develop an in-depth understanding of business processes, functions, teams, incumbent technology
Identify what’s standard vs. bespoke, and what drives value for clients
Design an end-state that relies on the latest automation offerings
Ensure the team has the highest likelihood of success, and all risks are managed by demonstrating consistent and proactive ownership of assigned responsibilities for standard work products, version control, model lifecycle, and Quality Control

Skills:

These skills will help you succeed in this role:

Hands on expertise on Python, Java, JavaScript, SQL, Unix, Docker, Kubernetes.
Experience with Cloud and Data technologies, frameworks and architectures.
Agile development methodology, CI/CD Development environments and tools (GIT, Maven, Jenkins, etc).
API Development for interoperable Cloud solutions including a deep focus on building the best of breed solutions which are used at scale across enterprise.
Strong analytical skills, critical thinking, problem solving, and decision making.
Very strong organizational skills, ability to meet deadlines and proven experience in working with large cross functional teams will be a plus

Education & Qualifications:

Bachelors Degree in Computer Science or Engineering.
2+ years of experience in Technology development or consulting on large-scale implementations in consulting or financial services industry.
Certification preferred in Cloud/SOA/AI-Machine Learning.

Salary Range:

$75,000 - $120,000 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Job Application Disclosure:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

","hiringOrganization":{"@type":"Organization","name":"State Street","sameAs":"https://www.statestreet.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"BOSTON, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Call For Founders - Artificial Intelligence","datePosted":"2025-08-15","description":"

📣 Call For Founder – Innovating with AI ! 🤖🔗

Tu es passionné(e) par les technologies émergentes et leur potentiel pour transformer les économies africaines ?

🤝 Viens co-créer une startup pionnière en intelligence artificielle ou blockchain.

Nous sommes un startup studio basé à Abidjan, Côte d’Ivoire, spécialisé dans le lancement de startups à fort impact.

🫡 La mission: Lancer des projets axés sur la data, l’automatisation, la formation et le service client.

Le Mstudio :

Le Mstudio est THE startup studio incontournable de la place Abidjanaise et de l’Afrique francophone. On s'est donné pour mission de révolutionner le secteur informel en Afrique. Pour ce faire on s'associe avec les top talents ayant un intérêt pour l'Afrique afin de lancer des startups qui vont transformer les vies des populations locales.

Nous explorons des solutions AI & Blockchain pour améliorer les systèmes de paiement, sécuriser les données et optimiser les services commerciaux, financiers, logistiques et agricoles. L'objectif ? Offrir des solutions innovantes et durables.

Ready To Launch 🚀 - Les projets AI que nous étudions:

📚 E-Learning (ie. Talstack, Crehana)

Requirements

Toi : notre futur(e) co-fondateur(trice) 🫵

On cherche une personne ambitieuse, visionnaire et prête à tout déchirer ! Trois options pour ton super pouvoir :

🧠 CEO – Le Stratège Visionnaire

Tu as une expérience en cabinet de conseil, finance, startup ou VC.
✅ Définir et scaler un modèle économique solide.
✅ Anticiper et saisir les opportunités de marché.
✅ Convaincre investisseurs et partenaires.
✅ Inspirer et aligner une équipe autour d’une vision forte à impact.

💻 CTO – Le Tech Architect

Ingénieur(e) expérimenté(e), expert(e) en scalabilité et architecture logicielle.
✅ Construire une infrastructure robuste et sécurisée.
✅ Maîtrises des technologies IA (machine learning, LLM, NLP, computer vision)
✅ Recruter et encadrer une équipe tech.
✅ Allier vision produit et excellence technique.

⚙️ COO – Le Smooth Operator

Expert(e) des chaînes de valeur et des opérations terrain.
✅ Structurer et optimiser les process.
✅ Expérience en supply chain, logistique, gestion d’équipes.
✅ Piloter la croissance et l’exécution locale.
✅ Résoudre les défis terrain avec efficacité et rapidité.

Ce qu’on t’offre :

🏆 Un rôle clé avec des parts dans la boîte.
🚀 Un accompagnement et un accès à du financement.
🤝 Un écosystème ultra collaboratif, stimulant et dynamique.
🌍 L’opportunité de bâtir une startup qui transforme son secteur.
📈 La possibilité de bâtir un projet scalable avec un impact régional.

Prêt(e) à relever le défi ? 💥

📲 Postule dès maintenant sur notre site avec :
✅ CV + LinkedIn

Let’s build! 🔥

","hiringOrganization":{"@type":"Organization","name":"Mstudio","sameAs":"https://www.mstudio.vc/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Abidjan, Abidjan, Côte d'Ivoire","addressCountry":"Ivory Coast","addressRegion":"Africa"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Senior GenAI Platform Engineer - Artificial Intelligence","datePosted":"2025-07-19","description":"Senior GenAI Platform Engineer - Artificial Intelligence\n \n\n\n\n\n\n\n\n\n Location\n \n\n New York\n \n\n\n\n Business Area\n \n\n Engineering and CTO\n \n\n\n\n Ref #\n \n\n 10044685\n \n\n\n\n\n\n\n

\n \n Description & Requirements\n

\n\n\n\n\n\n\nBloomberg’s Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Artificial Intelligence (AI) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior GenAI Platform Engineers with strong expertise and passion for building platforms, especially for GenAI systems.
As a Senior GenAI Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed GenAI development life cycle to enable the building and maintenance of our ML systems. Our teams make extensive use of open source technologies such as Kubernetes, KServe, MCP, Envoy AI Gateway, Buildpacks and other cloud-native and GenAI technologies. From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
Join the AI Group as a Senior GenAI Platform Engineer and you will have the opportunity to:

Architect, build, and diagnose multi-tenant GenAI platform systems
Work closely with GenAI application teams to design seamless workflows for continuous model training, inference, and monitoring
Interface with both GenAI experts to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms
Collaborate with open-source communities and GenAI application teams to build a cohesive development experience
Troubleshoot and debug user issues
Provide operational and user-facing documentation

We are looking for a Senior GenAI Platform Engineer with:

Proven years of experience working with an object-oriented programming language (Python, Go, etc.)
Experience with GenAI technologies like MCP, A2A, Langgraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs
A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
An understanding of Computer Science fundamentals such as data structures and algorithms
An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai\n\n\n\n\nSalary Range = 160000 - 240000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

\nWe offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
","hiringOrganization":{"@type":"Organization","name":"Bloomberg","sameAs":"https://www.bloomberg.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Senior Software Engineer - Artificial Intelligence team","datePosted":"2025-08-01","description":"Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.\n

We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.
We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey.
We're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.

\nAnd we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.

Join our Artificial Intelligence team as a Senior Software Engineer (with overlap into ML Engineer) and help us revolutionize marketing with ML-powered solutions! You'll work on cutting-edge technologies, impacting millions of users, and contributing to a product that truly makes a difference. Your starting salary will be 3 700 EUR gross per month, along with stock options and other benefits. We offer remote work in Central & Eastern Europe, with optional office space in Bratislava, Brno, or Prague on a full-time basis, you´ll become a core part of the Engineering Team.

What challenge awaits you?

You'll face the exciting challenge of building and maintaining ML-powered features in a production environment, ensuring they are reliable, scalable, and deliver real value to our users. You'll work alongside a team to overcome the unique challenges of building and running ML models in a SaaS environment, including managing data complexity, optimizing for performance, and ensuring model robustness.

You will cooperate with your teammates, Data Science engineers, and Engineering and Product leaders to speed up ML-powered features' delivery (from ideation to production) by applying principles of continuous discovery, integration, testing, and other techniques from Agile, DevOps, and MLOps mindsets. This will involve building efficient workflows, automating processes, and fostering a culture of collaboration and innovation.

Your job will be to:

Design & Deliver new features
Ensure quality and performance of developed solution
Support and Maintain owned components

a. Design & Deliver new features

Translate business requirements for ML-powered features into technical specifications and design documents.
Collaborate with data scientists to ensure new ML features' technical feasibility and scalability.
Define and develop back-office API endpoints (to configure the features) as well as the high-performance serving endpoints.
Develop and implement ML models, algorithms, and data pipelines to support new features.
Deploy and monitor new features in production, ensuring seamless integration with existing systems.

b. Ensure quality and performance of developed solution

Perform rigorous testing and quality assurance of ML models and code, including unit tests, integration tests, and A/B testing.
Implement monitoring systems and dashboards to track the performance of ML models in production, identify potential issues, and optimize for accuracy and efficiency.
Contribute to developing and implementing DevOps and MLOps best practices within the team.

c. Support and Maintain owned components

Maintain end-to-end features, encompassing back-office APIs, models, definitions, and high-performance serving APIs.
Provide ongoing support and maintenance for existing ML-powered features, including troubleshooting issues, fixing bugs, and implementing enhancements.
Support our client-facing colleagues in the investigation of possible issues (L3 support).
Document code, design decisions, and operational procedures to facilitate ongoing maintenance and knowledge sharing.

What technologies and tools does the AI team work with?

Programming languages - Python
Google Cloud Platform services - GKE, BigQuery, BigTable, GCS, Dataproc, VertexAI
Data Storage and Processing - MongoDB, Redis, Spark, TensorFlow
Software and Tools - Grafana, Sentry, Gitlab, Jira, Productboard, PagerDuty

The owned area encompasses various domains such as Recommendations, Predictions, Contextual bandits, MLOps. Therefore, having experience in these areas would be beneficial. The team also works with large amounts of data and utilizes platforms and algorithms for model training and data processing & ML pipelines. Experience in these areas is highly valued.

Your success story will be:

In 30 Days: Successfully onboard and contribute to ongoing tasks, demonstrating understanding of the codebase and team processes.
In 90 Days: Contribute to design discussions and independently deliver high-quality code for assigned features. Participate in investigating and resolving production issues.
In 180 Days: Independently manage larger tasks, contribute to team improvements, and confidently handle L3 support, investigating and resolving production issues.

You have the following experience and qualities:

Professional — Proven experience in python engineering, system design, and maintenance in the area of AI/ML-powered features.
Personal — Demonstrates strong initiative, ability to work within a team, communication skills, and a commitment to continuous learning and improvement.

Professional experience

Proven experience in Python engineering, with a strong focus on designing and maintaining AI/ML-powered features in production environments.
Experience with cloud platforms (e.g., GCP, AWS) and relevant services for ML development and deployment.
Solid understanding of software architecture principles, particularly in the context of building and maintaining scalable and reliable APIs and microservices.
Experience with version control systems (e.g., Git) and CI/CD pipelines for efficient development and deployment.
Familiarity with common ML frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn, etc.) and with ML pipelines/orchestration frameworks (Kubeflow, Airflow, Prefect,... )

Personal qualities

Demonstrates strong initiative and a proactive approach to problem-solving.
Excellent communication and collaboration skills, with the ability to work effectively within a team.
A genuine passion for learning new technologies and keeping up-to-date with the latest advancements in AI/ML.
A commitment to delivering high-quality work and a dedication to continuous improvement.

Excited? Join us and transform the future of commerce experiences.

#LI-KP1

More things you'll like about Bloomreach:

Culture:

\nA great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. \n
\nWe have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. \n
\nWe believe in flexible working hours to accommodate your working style.\n
\nWe work virtual-first with several Bloomreach Hubs available across three continents.\n
\nWe organize company events to experience the global spirit of the company and get excited about what's ahead.\n
\nWe encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*.\n
\nThe Bloomreach Glassdoor page elaborates on our stellar 4.4/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5\n

Personal Development:

\nWe have a People Development Program -- participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions.\n
\nOur resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.*\n
\nOur managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins.\n
\nBloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)*\n

Well-being:

\nThe Employee Assistance Program -- with counselors -- is available for non-work-related challenges.*\n
\nSubscription to Calm - sleep and meditation app.*\n
\nWe organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones.\n
\nWe facilitate sports, yoga, and meditation opportunities for each other.\n
\nExtended parental leave up to 26 calendar weeks for Primary Caregivers.*\n

Compensation:

\nRestricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.*\n
\nEveryone gets to participate in the company's success through the company performance bonus.*\n
\nWe offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts.\n
\nWe reward & celebrate work anniversaries -- Bloomversaries!*\n

(*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.)

Excited? Join us and transform the future of commerce experiences!

If this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!

\n\n

Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.

#LI-Remote

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Your Impact:

Create Your Career:

Grow With Us

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like Team Lead Academy, education reimbursement, mentoring, and company sponsored networking events, you can take control of your own career path on your own terms with a company that believes in you.

A Place Where You Belong

People are at the heart of our business. We reflect a diversity of cultures, backgrounds, and experiences. We expect our people, clients, and partners to treat one another with dignity and respect. This means promoting inclusion, celebrating diversity, and appreciating the differences we all bring to our workplace.

Support Your Well-Being

Our comprehensive benefits package includes wellness programs, 11 paid holidays, paid time off, employee perks and much more. With these benefits, plus the option for flexible schedules and possible remote a few days a week (depending on customer requirements) we’ll support you as you pursue a balanced, fulfilling life—at work and at home.

Position Description:

Our ESSCA Technical Fellows (eTF) serve as technical experts in their discipline. They are members of the ASED Leadership Team and support the ASED Chief Engineering Department (CED) in multiple ways. The eTF role is not a full time position and selected candidates will maintain their current full time position supporting Task Order work while supporting the eTF role with ~ 5% of their time.

The eTF program is a highly selective technical career path and is established to create a strong culture of technical growth and leadership development for the Amentum Space Exploration Division (ASED). The eTF is comprised of members representing diverse technical disciplines, each considered as technical experts within their discipline and serve as an innovation catalyst to develop leading-edge solutions, set technical direction, and resolve space exploration challenges. eTF members are also well connected throughout their respective communities of practice and serve as ASED ambassadors to develop, mentor, and recruit exceptional talent. Technical Fellows will provide support to ASED ESSCA contract operations in the areas of:

Technical Fellows will provide support to ASED ESSCA contract operations in the areas of:

Facilitate excellent coordination/communication/collaboration with other Technical Fellows, ASED management, and CED management.
Provide specific recommendations for internal ASED programs initiated to broaden and develop skills such as MPP, AMP, iLDP, etc.
Apply analytical, design, and test tools to provide state-of-art capability to MSFC and consistency across our entire staff.
Leverage broad experience/familiarity to effectively apply the technologies and tools used in their specific technical discipline.
Conduct special projects as assigned by the CED Manager or Office of Program Manager. Develop and maintain networks in their discipline to assist with hiring managers in meeting team support requirements.
Support CED and Talent Acquisition personnel in technical discipline recruiting. Support CED and ASED Education and Public Outreach to strategically boost the ESSCA workforce branding and STEM activities.

Here's What You'll Need:

Bachelor’s degree in Electrical, Mechanical, Aerospace, Systems or other Engineering discipline. Master’s degree preferred. Degree from an ABET accredited institution preferred. 15 years of relevant experience with a Bachelor’s degree (Master’s degree is equivalent to approximately two (2) years and a Ph.D. is equivalent to approximately six (6) years of experience.)

Position requirements include:

In coordination with the Chief Engineering Department, develop strong and high performing discipline capabilities that succeeds in delighting the government customer and ASED management.
Provide subject matter expertise, mentoring, and career guidance as a representative of the AI/ML discipline.
Contribute advice on strategic workforce development, training and education across the contract to meet forecast customer and mission needs and to ensure customer success. Communicate future resource/skills/development needs within the discipline.
Stimulate and develop innovative solutions by collaborating, coaching, supporting, and encouraging submittal of Technology, Innovation, and Process Improvement (TIPI) Innovation Grant applications.
Engage with external technical societies (i.e., AIAA, ASME, IEEE, INCOSE etc.) relevant to the discipline and serve in technical leadership positions. Promote professional society engagement of others across the contract.
Encourage ASED team members to publish and present technical data at various NASA and external professional meetings.
Lead technical exchange forums such as Brown Bag Lunches, technology reviews, Technical Interchange Meetings to share and disseminate information, and participate/own discipline specific Communities of Practice (CoPs).
Support and communicate development of best practices for MSFC and across ASED.

Essential Functions

Work Environment:

General office environment (100%). Requires ability to provide clear, concise, accurate and timely communication, both verbally and in writing (100%). Requires ability to interact professionally with co-workers, management, and client (100%). Requires travel in the domestic USA (<5%).

Physical Requirements:

Requires sitting for extended periods of time in meetings with peers, management, and with our client at NASA facilities to discuss technical issues (10%). Also, requires sitting for extended periods of time at a desk to write reports and perform engineering tasks (80%). Requires ability to use stairs or elevators for access between floors and multiple buildings at NASA and our facilities (<10%).

Equipment and Machines:

Requires ability to operate a personal computer, a telephone, fax machine, copier, calculator, and other general office equipment (100%).

Attendance:

Normal workday is from 7:30 a.m. through 4:30 p.m., Monday thru Friday. Minimal overtime may be required (10%) to meet schedule milestones and to support technical demands of the job. Regular attendance is a necessity and adequate arrangements for delegating duties during absences are required.

Other Essential Functions:

The ability to work independently with minimal supervision, and to make rational decisions, and to exercise good judgment is essential (100%). Grooming and dress must be appropriate for the position and must not impose a safety risk/hazard to the employee or others.

Proof of U.S. Citizenship is required.

#ESSCA #JSEG #ASED

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Primary Location

: United States-Alabama-Huntsville-20320-MSFC

Job Posting

: Jul 31, 2025, 2:17:45 PM

Job

: Aerospace

Organization

: CMS

Job Type

: ExperiencedJob Classification: Parttime-Regular

Work Locations

: 20320-MSFC 620 Discovery Drive Huntsville 35806Capabilities: Space","hiringOrganization":{"@type":"Organization","name":"Amentum","sameAs":"https://www.amentum.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States-Alabama-Huntsville-20320-MSFC","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":47,"item":{"@type":"JobPosting","title":"Vice President – Generative Artificial Intelligence Integration","datePosted":"2025-06-29","description":"

As a Vice President - Generative Artificial Intelligence Integration within our AI Innovation Team, you will inspire employees to incorporate AI into their work, provide engaging AI skill-building content and workshops, develop practical prototypes showcasing the potential of emerging AI skills and tools, and foster a community of AI enthusiasts throughout the organization.

Job Responsibilities

Drive usage of AI tools by employees through workshops, content, and interactive demos.

Train and serve a cohort of certified AI practitioners throughout the business.

Build functional generative AI prototypes while navigating the robust controls environment.

Produce and manage content for our internal AI Hub.

Partner with Governance, Business, and Tech teams.

Research and test the latest tools and methods in the fast-changing world of AI.

Required qualifications, capabilities, and skills

5+ years of experience helping businesses integrate emerging technology.

Proven ability to self-educate on emergent technology and apply it in business contexts.

Demonstrated experience crafting content and facilitating workshops that advance mindsets and skillsets in the workplace.

Preferred qualifications, capabilities, and skills

You have an ever-growing portfolio of AI projects you are working on.

You are a thought leader on social media or in offline communities.

You have built and scaled enablement or accelerator programs.

You have a mix of experience across startups and enterprise.

You are opinionated about what good looks like with flexibility about how we get there.

Equal Opportunity Employer/Disability/Veterans

","hiringOrganization":{"@type":"Organization","name":"JPMorgan Chase & Co.","sameAs":"https://www.jpmorganchase.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":48,"item":{"@type":"JobPosting","title":"Product Manager - Artificial Intelligence & Machine Learning","datePosted":"2025-07-18","description":"

SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips.

Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com.

What we’re looking for

SurveyMonkey’s mission is to power the curious so they can shape what’s next. For brave and ambitious teams, organizations, and communities, SurveyMonkey helps turn insights into action, empowering you to grow, innovate, and change what’s possible. In this role, your work will have a direct impact on SurveyMonkey's mission and our users. In this role, you will report to our Senior Director of Product in the AI/ML team. You will play a vital role across our product organization, coordinating with other product line PMs and cross-functional stakeholders in Machine Learning, Product, Engineering, Design, Growth, Sales and Product Marketing. You will bring domain expertise in AI and ML, and develop a deep understanding of user problems to identify opportunities where AI/ML can help. The AI and ML charter is pivotal to the future growth of SurveyMonkey and its position in the market vs other leading competitors.

What you’ll be working on

As a Product Manager focused on AI/ML, you will play a critical role in defining and delivering our next generation of intelligent features. You will work cross-functionally to bring both generative AI and machine learning capabilities to life—from concept to launch.

Define and own the roadmap for AI/ML initiatives in collaboration with the AI/ML product, engineering, data science, product marketing, and GTM teams.
Partner closely with our machine learning engineering team (data science and machine learning platform) to build features that enhance survey design, content generation, and insight discovery.
Translate complex technical concepts into user-centered product experiences that solve real customer problems.
Work closely with our UX design and research teams to deeply understand our persona across various segments to drive the launch of various ML capabilities
Collaborate with other product managers to identify opportunities to embed AI/ML into existing and new products using the power of agentic workflows, LLMs, MCPs etc.
Work with GTM teams to shape positioning, messaging, and enablement strategies for AI-powered features.
Stay on top of market trends and advancements in AI to proactively identify areas of innovation and differentiation.
Analyze data and other feedback sources to refine product delivery iteratively

We’d love to hear from people with

Bachelor’s degree in Computer Science, Engineering, Business, or a related field; advanced degree preferred.
5+ years of product management experience, with a focus on consumer AI/ML products
2+ years delivering NLP and LLMs based product features
Strong understanding of machine learning concepts and generative AI capabilities; technical degree or experience working closely with AI/ML engineers is a plus.
Demonstrated ability to bring zero-to-one AI features to market—from ideation through launch and iteration.
Experience translating customer needs and business goals into detailed product requirements.
Strong cross-functional collaboration skills, particularly with engineering, data science, and GTM stakeholders.
A bias for action, data-driven decision making, and comfort with ambiguity in fast-paced environments.
Excellent communication and storytelling skills—both for technical and non-technical audiences.
Experience working in an agile development environment.

SurveyMonkey believes in-person collaboration is valuable for building relationships, fostering community, and enhancing our speed and execution in problem-solving and decision-making. As such, you will be required to work from a SurveyMonkey office up to 1 day per week.

#LI - Hybrid

Why SurveyMonkey? We’re glad you asked

SurveyMonkey is a place where the curious come to grow. We’re building an inclusive workplace where people of every background can excel no matter their time zone. At SurveyMonkey, we weave employee feedback and our core values into everything we do to create forward-looking benefits policies, employee programs, and an award-winning culture, including our annual holiday refresh, our annual week of service, learning and development opportunities like Curiosity Week, and our C.H.O.I.C.E Fund.

Our commitment to an inclusive workplace

SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.

","hiringOrganization":{"@type":"Organization","name":"Momentive","sameAs":"https://www.momentive.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ottawa, Canada","addressCountry":"Canada","addressRegion":"North America"}}}},{"@type":"ListItem","position":49,"item":{"@type":"JobPosting","title":"Product Manager - Artificial Intelligence & Machine Learning","datePosted":"2025-07-18","description":"

What we’re looking for

What you’ll be working on

Define and own the roadmap for AI/ML initiatives in collaboration with the AI/ML product, engineering, data science, product marketing, and GTM teams.
Partner closely with our machine learning engineering team (data science and machine learning platform) to build features that enhance survey design, content generation, and insight discovery.
Translate complex technical concepts into user-centered product experiences that solve real customer problems.
Work closely with our UX design and research teams to deeply understand our persona across various segments to drive the launch of various ML capabilities
Collaborate with other product managers to identify opportunities to embed AI/ML into existing and new products using the power of agentic workflows, LLMs, MCPs etc.
Work with GTM teams to shape positioning, messaging, and enablement strategies for AI-powered features.
Stay on top of market trends and advancements in AI to proactively identify areas of innovation and differentiation.
Analyze data and other feedback sources to refine product delivery iteratively

We’d love to hear from people with

Bachelor’s degree in Computer Science, Engineering, Business, or a related field; advanced degree preferred.
5+ years of product management experience, with a focus on consumer AI/ML products
2+ years delivering NLP and LLMs based product features
Strong understanding of machine learning concepts and generative AI capabilities; technical degree or experience working closely with AI/ML engineers is a plus.
Demonstrated ability to bring zero-to-one AI features to market—from ideation through launch and iteration.
Experience translating customer needs and business goals into detailed product requirements.
Strong cross-functional collaboration skills, particularly with engineering, data science, and GTM stakeholders.
A bias for action, data-driven decision making, and comfort with ambiguity in fast-paced environments.
Excellent communication and storytelling skills—both for technical and non-technical audiences.
Experience working in an agile development environment.

The base pay provided for this position ranges from $119,000.00 / year - $161,000.00 / year depending on the geographic market and assuming a full-time schedule. Actual base pay is based on a number of factors including market location, job-related knowledge, education or training, skills, and experience.

Bonuses and commissions may also be offered as part of the total compensation package, in addition to a competitive benefits package including medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.

Why SurveyMonkey? We’re glad you asked

Our commitment to an inclusive workplace

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Company Description

Appcast is the global leader in programmatic recruitment advertising technology and services. With advanced technology, unmatched market data and a team of the industry’s best recruitment marketers, Appcast’s technology and services manage job advertising annually for enterprise clients across industries. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe. Appcast is part of the Stepstone group, a leading digital recruitment platform that connects companies with the right talent and helps people find the right job. 

Job Description

The Staff Software Engineer I – Artificial Intelligence is not only an exceptional builder but a domain expert in generative AI and ML technologies. This role is responsible to architect, implement, and scale advanced AI systems at Appcast. This role is expected to shape the technical direction of our AI products and act as a trusted advisor to your peers across engineering teams. 

Job Responsibilities:

Architect and Build AI-Driven Solutions: 

Design, prototype, and deploy scalable AI and ML systems — particularly generative models — that power real-world recruitment applications. Your work will fuel next-generation user experiences and decision-making tools.

Advance the Technical Vision of Appcast Labs: 

Establish and evolve the technical foundation for Appcast’s AI strategy. You’ll work closely with R&D leadership to identify high-impact problems and translate them into robust, production-ready systems.

Guide Engineering Best Practices in AI: 

Serve as the go-to authority on AI/ML engineering patterns, MLOps pipelines, model lifecycle management, and responsible AI practices. Help elevate engineering quality through code reviews, architectural guidance, and design discussions.

Drive Innovation with AWS AI/ML Tooling: 

Leverage and extend services like SageMaker, Bedrock, Lambda, and Step Functions to deliver reliable, performant, and secure AI workflows.

Collaborate Cross-Functionally: 

Partner with data scientists, ML engineers, product managers, and business stakeholders to align AI initiatives with product and user needs. Translate complex research into scalable production systems.

Mentor Through Influence: 

Though not a people manager, you’ll mentor engineers through your example, peer support, and technical insights. You’re energized by helping others get better and driving collective technical excellence.

Evaluate and Integrate Emerging AI Tech: 

Stay on the bleeding edge of LLMs, embeddings, retrieval-augmented generation (RAG), vector databases, prompt engineering, and evaluation techniques. You’ll help decide which tools we adopt — and when to build our own.

Own Quality, Testing, and Documentation: 

Ensure AI models are transparent, validated, and reproducible. Design evaluation protocols, bias detection methods, and documentation practices that make our work trustworthy and maintainable.

Qualifications

Demonstrated ability to lead technically through advising, mentoring, and elevating others across functions. 
Entrepreneurial mindset with a bias for action and a love for experimentation. 
Excellent communication skills — able to translate complex technical ideas to stakeholders at various levels in a digestible manner. 
Proven experience building and deploying generative AI and ML systems in production environments. 
Deep expertise with AWS AI/ML services, such as SageMaker, Bedrock, Lambda, and related orchestration tools. 
Strong software engineering skills in Java with a focus on building scalable, maintainable systems. 
Familiarity with modern MLOps, model versioning, CI/CD for ML, and cloud-based data pipelines. 
Experience with open-source generative AI frameworks (e.g., Hugging Face Transformers, LangChain, LlamaIndex, etc.).

Education and Experience:

Bachelor’s degree in computer science, Artificial Intelligence, Machine Learning, Data Science is required.
Master’s degree is a plus.
Advanced coursework or certifications in machine learning, deep learning, natural language processing, or cloud-based AI systems (e.g., AWS AI/ML tools) are highly desirable.
5+ years of software engineering experience, with at least 2+ years focused on AI/ML system design and implementation, including generative AI.

Travel Requirements:

Travel may be required as necessary

Supervisory Responsibilities:

This role does not supervise others

Additional Information

Appcast recognized as one of Inc Magazine's \"Best Workplaces\" for 2024!

We’re the best at what we do. We’re the global leader in programmatic recruitment advertising. With advanced technology, unmatched market data and a team of the industry’s best recruitment marketers.
We have an amazing culture driven by great people. Headquartered in Lebanon, N.H. with offices in the U.S., Canada and Europe, Appcast is part of the Stepstone group. To better understand our company culture, read Our Story and check out Working at Appcast on our website.
We take care of our employees. We're dedicated to creating an inviting environment where individuals from diverse backgrounds can thrive and develop. We believe in providing competitive compensation and comprehensive benefits, ensuring our team can support their loved ones and one another. We enjoy fostering a sense of community through dedicated employee networks, fun gatherings, delicious food, and even welcoming furry friends into our workspace. We live our values each day including volunteering and giving back to our communities.

All your information will be kept confidential according to EEO guidelines.

Appcast is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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Company Description

Job Description

Qualifications

Additional Information

Company Description

Job Description

Qualifications

Additional Information

Responsibilities:

Requirements

Benefits

Job Description

Additional Information

Company Details

Responsibilities

Qualifications

Minimum qualifications:

Preferred qualifications:

About the job

Responsibilities

What you’ll do ​& Who you are

Role Summary

Key Responsibilities

Required Qualifications & Skills

Preferred Qualifications & Skills

Benefits

Job Details

Description

Qualifications

Company Description

Job Description

Qualifications

Additional Information

Requirements

Main Tasks

Skills, Experience and Qualifications required:

Requirements

Main Tasks

Skills, Experience and Qualifications required:

WHAT WILL YOU DO

WE EXPECT YOU TO HAVE

AT MEDIATECH YOU WILL GET

GROSS SALARY

Minimum qualifications:

Preferred qualifications:

About the job

Responsibilities

Job Description

AI Governance & Frameworks

Risk Oversight & Challenge

Program Execution & Monitoring

Stakeholder Engagement

Regulatory & Ethical Compliance

About the Organizations:

Role Purpose & Position:

Key responsibilities include:

Qualifications:

Terms:

About Aegon:

Enthusiastic? Apply!

Company Description

Job Description

Qualifications

Additional Information

📣 Call For Founder – Innovating with AI ! 🤖🔗

Le Mstudio :

Ready To Launch 🚀 - Les projets AI que nous étudions:

Requirements

Toi : notre futur(e) co-fondateur(trice) 🫵

🧠 CEO – Le Stratège Visionnaire

💻 CTO – Le Tech Architect

⚙️ COO – Le Smooth Operator

Ce qu’on t’offre :

Prêt(e) à relever le défi ? 💥

\n \n Description & Requirements\n

What challenge awaits you?

Your job will be to:

a. Design & Deliver new features

b. Ensure quality and performance of developed solution

c. Support and Maintain owned components

What you’ll do & Who you are

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