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Looking to make an impact in AI for telecom?

As an AI Architect, you’ll drive the design and deployment of innovative AI/ML frameworks and solutions tailored for the telecom industry. You'll define architecture blueprints, choose the right tools and platforms, and partner with cross-functional teams to build scalable, high-impact AI systems.

If you're passionate about driving real-world transformation through AI, this role is for you.

Design end-to-end AI architecture tailored to telecom services business functions (e.g., Service assurance, Orchestration and Fulfilment).
Define data strategy and AI workflows including Inventory Model, ETL, model training, deployment, and monitoring.
Evaluate and select AI platforms, tools, and frameworks suited for telecom-scale workloads for development and testing of Inventory services solutions
Work closely with telecom network experts and Architects to align AI initiatives with business goals.
Ensure scalability, performance, and security in AI systems across hybrid/multi-cloud environments.
Mentor AI developers

You Have:

Deep understanding of AI/ML techniques and scalable architecture design.
Experience architecting AI solutions for telecom operations, inventory management and ETL
Strong experience with data platforms (Kafka, Spark, Hadoop), model orchestration (Kubeflow, MLflow), and cloud-native deployment (AWS Sagemaker, Azure ML).
Proficient in programming (Python, Java) and DevOps/MLOps best practices.
Familiarization with any of the LLM models and LLM agent frameworks like LangChain / CrewAI / AutoGen that helps in building and scaling applications using GenAI

It would be nice if you also had:

Familiarity with telecom protocols, OSS/BSS platforms, 5G architecture, and NFV/SDN concepts.
Excellent communication and stakeholder management skills.

\n\n

Come create the technology that helps the world act together

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work

What we offer

Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.

Nokia is committed to inclusion and is an equal opportunity employer

Nokia has received the following recognitions for its commitment to inclusion & equality:

One of the World’s Most Ethical Companies by Ethisphere
Gender-Equality Index by Bloomberg
Workplace Pride Global Benchmark

\n\n
\n At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
We are committed to a culture of inclusion built upon our core value of respect.

\n\n Join us and be part of a company where you will feel included and empowered to succeed.","hiringOrganization":{"@type":"Organization","name":"Nokia","sameAs":"https://www.nokia.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":2,"item":{"@type":"JobPosting","title":"Software Engineer III, AI/ML, Photos Reminiscing","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
Experience with Large Language Model (LLM), Machine Learning, Distributed Systems, Technical Design, Software Development.
Experience with Artificial Intelligence or Technical Design.

Preferred Qualifications:

Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with performance, systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in an academic or industry setting.
Experience in developing accessible technologies.
Experience in Large Language Model (LLM).

About The Job

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.

Responsibilities

Write product or system development code.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Lead design reviews with peers and stakeholders to select among available technologies.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":3,"item":{"@type":"JobPosting","title":"Software Engineer III, iOS, XR Camera","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in the Swift programming language.
2 years of experience with iOS application development.

Preferred Qualifications:

Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience working with two or more from the following: C/C++, SwiftUI/UIKit, CoreBluetooth, networking, media streaming.
Experience working with one or more from the following: Core ML, Metal and TensorFlow Lite/LiteRT.
Experience working on camera related applications, wearables, or Augmented Reality (AR)/Extended Reality (XR).
Experience in managing camera and processing image data.

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.

The Extended Reality (XR) Team’s mission is to give people superhuman abilities by making information instantly and intuitively accessible.

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
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

Adapt, build, and launch first-party Extended Reality (XR) Camera application for iPhones paired with next-generation wearables.
Ensure as much as possible, between Google’s XR offerings on iOS and other platforms, including latency, efficiency and photo and video quality.
Integrate on-device processing solutions (e.g., HDR, EIS, framing).
Work closely with the Android XR development to leverage common components and raise unique iOS constraints to shape shared components.
Work across partner teams (e.g., Platform, Core-Tech, partner Product Areas), and our external partners in delivery of the XR Camera iOS solution.

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Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.

Preferred Qualifications:

Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with data structures or algorithms.
Experience developing accessible technologies.

About The Job

Responsibilities

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Write product or system development code.","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv, Israel","addressCountry":"Israel","addressRegion":"Middle East"}}}},{"@type":"ListItem","position":5,"item":{"@type":"JobPosting","title":"Software Engineer III, Front End, Google Analytics","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor's degree or equivalent practical experience.
2 years of experience in development with front-end programming languages such as JavaScript.
2 years of experience with front-end frameworks, full-stack development, or API development.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical field.
2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience in code and system health, diagnosis and resolution, and software test engineering.
Experience developing accessible technologies.

About The Job

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

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

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":6,"item":{"@type":"JobPosting","title":"Customer Engineer, AI/ML (Japanese)","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
4 years of experience in business requirements analysis and business stakeholder management.
4 years of experience in a customer-facing role such as technology consultant, technical architect, enterprise architect, technical business engineer, or solutions architect.
Experience with frameworks for deep learning (e.g., PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g., Tensor Processing Units (TPUs), Graphics Processing Units (GPUs)), model architectures (e.g., encoders, decoders, transformers), and using machine learning Application programming interfaces (APIs).
Ability to communicate in Japanese fluently to support client relationship management in this region.

Preferred Qualifications:

Master's degree in Computer Science, Statistics, or a related technical field.
Experience in using natural language processing or natural language related to machine learning projects.
Experience in building machine learning solutions and leveraging machine learning architectures (e.g., deep learning, Load Shedding and Traffic Management (LSTM), convolutional networks).
Ability to learn, understand, and work with new emerging technologies, methodologies, and solutions in the cloud or IT technology environment.

About The Job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

In this role, you will partner with technical business teams as a data analytics subject matter expert to differentiate Google Cloud to the customers. You will help prospective and existing customers and partners to understand the power of Google Cloud, develop cloud solutions and architectures to solve their business tests, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back-end and all aspects of the data lifecycle. You will engage with customers to understand their business and technical requirements, and present solutions on Google Cloud.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

Share Artificial Intelligence (AI/ML) expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering with product management to prioritize solutions impacting customer adoption to Google Cloud.
Be responsible for go-to-market strategy from a technical perspective. Unlock product gap for adoption working with the Product Engineering team.
Work with the team to identify and qualify business opportunities, understand customer technical issues, and develop the strategy to resolve technical blockers.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan","addressCountry":"Japan","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":7,"item":{"@type":"JobPosting","title":"Software Engineer III, Mobile (Android), Geo","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.\n
2 years of experience with software development in Java.
2 years of experience with Android application development.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical field.\n
2 years of experience with data structures or algorithms in either an academic or industry setting.
Experience with iOS application development.
Experience developing accessible technologies.
Proficiency in code and system health, diagnosis and resolution, and software test engineering.

About The Job

In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

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. 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

Write product or system development code.
Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).\n
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.\n
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. \n
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.\n

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mountain View, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":8,"item":{"@type":"JobPosting","title":"Senior Software Engineer, AI/ML","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience in AI/ML related engineering.
1 year of experience in a technical leadership role with software design and architecture; leading tech design and driving team execution.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical field.
Experience in developing, deploying, managing, and maintaining Machine Learning models and infrastructure.
Experience in machine learning, building/training AI models, backend data infrastructure or data engineering.
Experience in Python or C++.
Understanding of data engineering practices and principles (e.g., tools, processes, pipelines, etc.).

About The Job

As a Senior Software Engineer at LearnX Zagreb, you will be a key contributor in developing AI driven capabilities and features for learning products in Search Web and Lens. You will work in close collaboration with product, data, UX and other engineering and research teams. You will put yourself in users shoes, identifying, proposing and driving engineering solutions that bring AI capabilities for learning to the surfaces our users use. Your day to day work will include creating training datasets, fine-tuning, prompt optimization, evaluating model performance, detecting headroom, launching AI driven features and enabling surface specific quality.

Responsibilities

Drive design and implementation of AI features for education in Search Web and Lens.
Analyze model performance, diagnose loss patterns, and ensure high quality of AI educational user journeys.
Drive cross-team collaboration with product, UX, data and engineering teams across the world, participate in product initiation, plan timelines and ensure engineering delivery.
Act as an engineering point of contact for cross-functional partners within your area of responsibility.
Demonstrate growth mindset, self-reflection, mentor other engineers on the team and share expertise in AI/ML best practices and model development.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Zagreb, Croatia","addressCountry":"Croatia","addressRegion":"Europe"}}}},{"@type":"ListItem","position":9,"item":{"@type":"JobPosting","title":"Software Engineer III, Geo Automotive","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures or algorithms.
Experience developing accessible technologies.
Experience with Android software development.
Experience in designing Application programming interfaces (API).

About The Job

The Geo Alpen team is part of a the larger Geo Automotive group, bringing the best of Google Maps into cars around the world. We work with car brands to embed Google Maps for a great end user experience while continuously improving maps for everyone.

Responsibilities

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

Write product or system development code.","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Munich, Germany","addressCountry":"Germany","addressRegion":"Europe"}}}},{"@type":"ListItem","position":10,"item":{"@type":"JobPosting","title":"Software Engineer III, Mobile, Health App Foundations","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with data structures or algorithms.
2 years of experience with iOS application development.

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical field.
Experience developing accessible technologies.

About The Job

Our company has extensive experience in consumer health, spanning platforms like Health, Fitbit, Fit and Wear. We offer a wide-ranging portfolio of health experiences, including software (Fit, Fitbit, Happ, Health Studies/Vico) and hardware (Fitbit, WearOS, Nest, Pixel). To expand our reach and enhance health outcomes, we aim to innovate how these experiences are delivered by integrating wellness and clinical solutions. Leveraging Fitbit and Google’s expertise in machine intelligence and user-centric design, we are poised to lead in this evolving space.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities

Develop product or system code.
Participate in or lead design reviews with peers and stakeholders to evaluate and select appropriate technologies.
Review code developed by other developers and provide constructive feedback to ensure adherence to best practices including style guidelines, accuracy, testability, and efficiency.
Triage product or system issues by debugging, tracking and resolving them through analysis of root causes and their impact on hardware, network, or service operations and quality.
Comply with all company health and safety policies, procedures, and legal requirements.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bucharest, Romania","addressCountry":"Romania","addressRegion":"Europe"}}}},{"@type":"ListItem","position":11,"item":{"@type":"JobPosting","title":"Software Engineer, Google Cloud Platforms","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages (e.g., C, C++, Python, or Go), or 1 year of experience with an advanced degree.
Experience working with open source communities and tools.

Preferred Qualifications:

Master's degree or PhD in Computer Science or a related technical field.
2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging.
Experience in network programming or developing/designing large software systems.

About The Job

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We are proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.\n

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.

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

Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":12,"item":{"@type":"JobPosting","title":"Staff Software Engineer, AI/ML, Platform and Applications","datePosted":"2025-09-23","description":"

Minimum Qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience with data structures/algorithms and software development in one or more programming languages.
5 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.
5 years of experience with one or more of the following such speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
3 years of experience with machine learning infrastructure (e.g., model deployment/evaluation, optimization, debugging) or large-scale distributed systems.

Preferred Qualifications:

Experience with large-scale system design, artificial intelligence or machine learning.
Knowledge of modern react-style web development.
Understanding of the full web stack, including protocols and web server optimization techniques.

8 years of experience with data structures/algorithms and software development in one or more programming languages.

About The Job

Responsibilities

Develop AI platforms and applications for Google Cloud's enterprise customers.
Grow in a fluid environment solving critical issues and deliver solutions at speed.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru, Karnataka, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":13,"item":{"@type":"JobPosting","title":"AI/ML Consultant (3 Months Contract)","datePosted":"2025-09-23","description":"\n

Job Description

Position Title: Automation Consultant
Type: Contractual
Duration: 3-monthsLocation: Hyderabad (Work from Office)
Experience : 7-8 years

\n\n\n\n

About Us

HighRadius, a renowned provider of cloud-based Autonomous Software for the Office of the CFO, has transformed critical financial processes for over 1000+ leading companies worldwide.Trusted by prestigious organizations like 3M, Unilever, Anheuser-Busch InBev, Sanofi, Kellogg Company, Danone, Hershey's, and many others, HighRadius optimizes order-to-cash, treasury, and record-to-report processes, earning us back-to-back recognition in Gartner's Magic Quadrant and a prestigious spot in Forbes Cloud 100 List for three consecutive years.

With a remarkable valuation of $3.1B and an impressive annual recurring revenue exceeding $100M, we experience a robust year-over-year growth of 24%. With a global presence spanning 6+ locations, we're in the pre-IPO stage, poised for rapid growth. We invite passionate and diverse individuals to join us on this exciting path to becoming a publicly traded company and shape our promising future.

Position Summary

We are seeking an experienced Order-to-Cash (O2C) Automation Strategy Consultant for a part-time, 3-month on-site contract at our SaaS company. In this role, you will design a comprehensive automation strategy for the Order-to-Cash implementation project, with the goal of streamlining O2C workflows and improving efficiency. You will work closely with cross-functional teams to analyze current processes and identify opportunities where automation (including AI/ML or RPA solutions) can drive quick improvements and long-term transformation. Importantly, this is an automation strategy and planning role – the consultant will deliver detailed strategic recommendations and an automation roadmap. (The seniority level/title for this position is flexible and negotiable based on the candidate’s experience.)

Essential Roles And Responsibilities

Assess Current O2C Processes: Map and evaluate the company’s end-to-end Order-to-Cash workflows (from order entry through billing, collections, and cash application) to identify inefficiencies, pain points, and bottlenecks. This includes performing in-depth process analysis to spot areas for improvement and automation
Identify Quick-Win Automations: Based on the assessment, pinpoint quick-win automation opportunities that can be implemented rapidly for immediate efficiency gains. It may involve automating manual tasks or streamlining sub-processes to deliver quick ROI and process improvements
Develop Long-Term Automation Roadmap: Create a comprehensive strategic automation roadmap for the O2C function, outlining phased initiatives and projects over the long term. This roadmap will detail how to evolve from the current state to a highly automated future state, including prioritization of initiatives, timelines, and expected benefit. The roadmap should align with business goals and incorporate advanced solutions (e.g. AI-driven credit analysis, RPA bots for invoice processing) as appropriate.
Evaluate Tools & Technologies: Review and evaluate the existing technology stack and tools supporting O2C (e.g. SAP, Oracle Fusion ERP, billing systems, etc.). Determine each system’s current automation capabilities and integration gaps, and recommend enhancements or new tools if needed. This includes assessing the potential of intelligent automation platforms or RPA software to complement existing systems.
Stakeholder Workshops & Discovery: Conduct stakeholder workshops and cross-functional discovery sessions with teams from Sales, Finance, Operations, and IT. Gather requirements, document current process flows, and solicit input on pain points and improvement ideas. Facilitate discussions to ensure all relevant perspectives are considered and to drive stakeholder buy-in for automation initiatives.
Strategic Recommendations: Synthesize findings from your analysis into clear, actionable recommendations. Prepare detailed documentation of the current challenges, proposed improvements (quick wins and long-term changes), and envisioned future-state processes. Develop business case justifications for each recommended initiative (e.g. expected efficiency gains, error reduction, ROI).
Advisory and Collaboration: Act as a trusted advisor on O2C process best practices and automation trends throughout the engagement. Work closely with internal project teams to ensure your recommendations are feasible and aligned with the company’s technology standards and business objectives. While you will not be executing implementation, you will collaborate with those who will, to hand off a clear plan. You may also provide guidance on change management approaches (e.g. training needs, communication plans) to support a smooth transition once automation projects kick off.

\n\n

Requirements And Qualifications

Automation & SaaS Expertise: Proven experience leading automation initiatives in enterprise environments (preferably in a SaaS company or software industry). The ideal candidate stays current with modern automation technologies, tools, and best practices for process improvement.
Automation Awareness: A strong background in designing or evaluating Automation solutions for business process improvement, and how it can be implemented to streamline existing SaaS implementation (for example, automated invoice processing or predictive cash collection). Prior experience implementing or strategizing intelligent automation solutions in finance or sales operations is a plus.
Consulting & Facilitation Skills: Demonstrated consulting experience, with the ability to lead workshops, interviews, and discovery meetings across various business functions. Excellent facilitator capable of driving discussions, asking the right questions, and guiding teams toward process mapping and solution alignment. Experience in a client-facing role or internal consulting capacity is preferred.
Communication & Documentation: Exceptional communication skills, both written and verbal. Ability to produce clear process documentation, requirements definitions, and strategic roadmap documents. Strong presentation skills are essential – the consultant must be comfortable presenting complex ideas and recommendations to senior executives in a clear and persuasive manner. Attention to detail in documentation and the ability to tailor communication to both technical teams and business leaders is required.
Order-to-Cash Domain Knowledge: Knowledge of Order-to-Cash workflows and finance operations, and system familiarity related to ERP systems is good-to-have.
Additional Qualifications: Bachelor’s or Master’s degree in Business, Information Systems, Finance, or a related field is preferred (or equivalent work experience). Certifications or training in process improvement (e.g. Lean Six Sigma), project management (PMP/Agile), or specific technologies (SAP, RPA tools) are advantageous. A collaborative mindset, analytical problem-solving abilities, and a results-driven approach will help the candidate succeed in this role.

\n\n

*Nothing in this job description restricts management’s rights to assign or reassign duties and responsibilities to this job at any time.

","hiringOrganization":{"@type":"Organization","name":"HighRadius","sameAs":"https://www.highradius.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":14,"item":{"@type":"JobPosting","title":"IN-Senior Associate - AI/ML Developer - Application Technology-MS Engg -Advisory-Kolkata","datePosted":"2025-09-23","description":"

Line Of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Microsoft

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in integration and platform architecture focus on designing and implementing seamless integration solutions and robust platform architectures for clients. They enable efficient data flow and optimise technology infrastructure for enhanced business performance.

Those in solution architecture at PwC will design and implement innovative technology solutions to meet clients' business needs. You will leverage your experience in analysing requirements, developing technical designs to enable the successful delivery of solutions.

*Why Pwc

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. \"

Job Description & Summary: We are looking for experienced AI/ML developers with: • strong analytical and problem-solving abilities • willingness to learn latest AI technologies and adapt to changing project requirements • Understanding of the core AI algorithms • ability to prioritize tasks and manage time effectively to meet deadlines • good verbal and written communication skills • ability to work collaboratively in a team setting

Responsibilities:

• Design, develop, and deploy AI/ML models in Azure App Services and Azure Kubernetes Service (AKS) • Implement and optimize AI solutions using frameworks like Lang-Chain, Semantic Kernel, and PyTorch • Develop and maintain applications using Microsoft .NET framework, integrating with Microsoft Teams and Graph API *Perform prompt engineering, tuning, and optimization of Large Language Models • Handle data preprocessing and feature engineering for both structured and unstructured data • Implement CI/CD pipelines using Azure DevOps • Manage data storage solutions using Azure Blob Storage • Collaborate with team members to ensure best practices in AI/ML development Document AI models, code, and processes clearly.

Mandatory Skill Sets:

Essential Skills: Strong proficiency in Python, TypeScript, and/or C# • Experience with AI frameworks including Lang-Chain, Semantic Kernel, PyTorch, and Scikit-learn • Expertise in Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services Strong knowledge of NLP, LLMs, Vectorization, and Prompt Engineering • Experience with Azure Text Analytics • Proficiency in data engineering using Azure Data Factory and Azure SQL Database Experience with Azure DevOps and version control • Understanding of cloud-based AI/ML deployment • Experience with Microsoft Teams and Graph API integration • Knowledge of data preprocessing and feature engineering techniques

Preferred Skill Sets:

Desirable Skills: 1. AI-900: Azure AI Fundamentals (Must Have)
Good to have: 1. DP-100: Azure Data Scientist Associate (Preferred)

Years Of Experience Required:

3+ Yrs

Education Qualification:

BTech/BE/MTech from reputed institution/university as per the hiring norms

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AI Programming

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Amazon Web Services (AWS), Analytical Thinking, Architectural Engineering, Brainstorm Facilitation, Business Impact Analysis (BIA), Business Process Modeling, Business Requirements Analysis, Business Systems, Business Value Analysis, Cloud Strategy, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Creativity, Embracing Change, Emotional Regulation, Empathy, Enterprise Architecture, Enterprise Integration, Evidence-Based Practice (EBP), Feasibility Studies {+ 41 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

\n","hiringOrganization":{"@type":"Organization","name":"PwC","sameAs":"https://www.pwc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kolkata DN 57, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":15,"item":{"@type":"JobPosting","title":"AI/ML Engineer","datePosted":"2025-09-23","description":"

Why GSK?
Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.

People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Important notice to Employment businesses/ Agencies

GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

","hiringOrganization":{"@type":"Organization","name":"GSK","sameAs":"https://www.gsk.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shanghai R&D Office, China","addressCountry":"China","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":16,"item":{"@type":"JobPosting","title":"Software Engineer III","datePosted":"2025-09-23","description":"

Be Visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

Job Summary

The Software Engineer III will be responsible for designing, developing, integrating, and maintaining advanced ground software solutions that support commercial aircraft operations, with a focus on delivering reliable, high-performance applications used by major airlines and military organizations. This role includes implementing new features, contributing to system architecture, supporting testing and validation efforts, and ensuring alignment with product requirements and industry standards. The engineer will collaborate with cross-functional teams to deliver high-quality software, participate in continuous improvement initiatives, and have opportunities for technical and professional growth within a fast-paced, supportive development environment.

Essential Duties And Responsibilities:

Software Development: Design, develop, and unit test robust, scalable software components that meet performance and maintainability standards.
Backend Engineering: Build backend APIs and tools with a focus on scalability, reliability, and long-term support.
Architecture & Code Quality: Participate in code reviews, technical discussions, and system architecture decisions to ensure high-quality software design.
Agile Collaboration: Work collaboratively with QA, product managers, and fellow engineers in Agile sprints, contributing to planning, backlog grooming, daily standups, retrospectives, and sprint reviews.
Mentorship & Peer Review: Participate in peer code reviews and provide guidance to junior team members as needed.
Documentation: Contribute to technical documentation including specifications, API references, and system design artifacts.
Cross-Functional Engagement: Engage in internal meetings, customer communications, and industry events to support product development and alignment with stakeholder needs.

Education And/Or Experience:

Bachelors of Arts (BA) or Science (BA) from a four-year college or university in Computer Science, Engineering, or related field, in addition to 3-5+ years of professional or professional-equivalent experience in software development or related roles.

Technical Skills:

Proficiency in Python, C#/.NET, and TypeScript, with experience developing applications using Angular.
Strong understanding of HTML/CSS and modern frontend frameworks.
Hands-on experience with relational databases, particularly MySQL.
Experience building and consuming RESTful APIs for scalable backend services.
Working knowledge of AWS services including Lambda, S3, and RDS.
Strong skills in troubleshooting, debugging, and performing system-level analysis.
Proficient in Git and familiar with standard version control workflows and branching strategies.
Exposure to the aviation or aerospace industry
Experience working in regulated environments (e.g., DO-178C, ISO 26262) (if applicable)
Familiarity with DevSecOps practices
Salary: 125k - 135k

Desirable Qualifications:

Agile/Scrum Project Experience

Salary Range:

$82,600.00-$110,100.000

Pay Transparency

The anticipated salary range listed for this role is only an estimate. Actual compensation for successful candidates is carefully determined based on several factors including, but not limited to, location, education/training, work experience, key skills, and type of position.

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.

Teledyne is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.

","hiringOrganization":{"@type":"Organization","name":"Teledyne Technologies","sameAs":"https://www.teledyne.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"US - Eagan, MN, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":17,"item":{"@type":"JobPosting","title":"Sr. Project Manager - AI/ML Job","datePosted":"2025-09-23","description":"

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

\n\n

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

\n\n

We are looking forward to hire AI/ML Professionals in the following areas :

\n\n

Job Title: Senior Project Manager – Artificial Intelligence (AI)

Department: AI / Data Science / Technology
Employment Type: Full-Time

\n\n

Job Summary:

We are looking for a seasoned Senior Project Manager – AI with 12+ years of experience in leading complex technology projects, including at least 3–5 years in AI/ML domains. This role will drive strategic AI initiatives, manage cross-functional teams, and ensure successful delivery of AI solutions aligned with business objectives.

\n\n

Key Responsibilities:

Lead the planning, execution, and delivery of AI/ML projects across multiple business units.
Collaborate with data scientists, engineers, and product teams to define project scope, goals, and success metrics.
Develop and maintain detailed project plans, budgets, and timelines.
Implement Agile/Scrum methodologies and foster a culture of continuous improvement.
Ensure adherence to data governance, ethical AI practices, and regulatory compliance.
Communicate project status, risks, and dependencies to senior leadership and stakeholders.
Manage external vendors and technology partners as needed.
Identify opportunities to scale AI solutions and optimize project outcomes.

\n\n

Required Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
12+ years of overall experience in project management, with a strong track record in delivering technology projects.
3–5 years of hands-on experience managing AI/ML or data science projects.
Strong understanding of AI technologies such as machine learning, NLP, computer vision, and generative AI.
Proficiency in Agile/Scrum tools (e.g., Jira, Azure DevOps).
Excellent leadership, communication, and stakeholder management skills.
PMP, PMI-ACP, or equivalent certification is preferred.

\n\n

Preferred Skills:

Experience with cloud platforms (Azure, AWS, GCP) and AI services.
Familiarity with MLOps, model lifecycle management, and data engineering workflows.
Ability to manage multiple projects in a fast-paced, evolving environment.
Strategic mindset with the ability to align AI initiatives with business goals.

\n\n

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

\n\n

Our Hyperlearning workplace is grounded upon four principles

Flexible work arrangements, Free spirit, and emotional positivity
Agile self-determination, trust, transparency, and open collaboration
All Support needed for the realization of business goals,
Stable employment with a great atmosphere and ethical corporate culture

","hiringOrganization":{"@type":"Organization","name":"Yash Technologies","sameAs":"https://www.yash.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, TG, IN","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":18,"item":{"@type":"JobPosting","title":"Senior Product Manager (AI/ML)","datePosted":"2025-09-22","description":"

Are you ready to embark on a career that truly affects people around the world? Trulioo invites you to be a catalyst for change in the dynamic realm of digital identity verification. As the global front-runner in our industry, we are redefining how businesses grow, innovate and comply online.

Picture yourself at the forefront of innovation, contributing to our award-winning platform that enables organizations worldwide to quickly onboard customers, optimize costs and combat fraud. Fueled by Silicon Valley support, Trulioo stands as the trusted platform that can verify more than 5 billion people and 700 million business entities spanning 195 countries.

But Trulioo is more than a tech company. We are a united force of dedicated experts committed to establishing trust online.

Headquartered in Vancouver and with strategic hubs in San Diego and Dublin, we foster a culture of collaboration and open communication. Our offices support a hybrid model and staff typically work three days per week at a hub location. Join us where excitement meets innovation and contribute to a world where trust and technology unite.

What We Offer

Comprehensive Benefits: We provide a robust benefits package for full-time, permanent employees, including health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education & training stipend (equivalent to $1,000 in local currency). Specific benefits may vary by location and will be discussed further during the interview process.
Flexible Hybrid Working Environment: Our offices are designed to support both collaboration and flexibility. Enjoy weekly lunches, quality coffee, and regular social events. Many locations also feature parent rooms, on-site gyms, comfortable lounges, and adaptable workstations to support your comfort and productivity.
Wellness: We care about your well-being. Team members have access to wellness workshops and events, as well as a complimentary Headspace subscription to help you stay focused, grounded, and energized.
Employee Resource Groups: Belonging is an important part of doing your best work. Our ERGs provide an inclusive space, support and community for employees of diverse backgrounds and allies. We host informative, fun sessions and celebrations that are often open to the entire organization.

\n\n

Position Summary:

Trulioo is seeking a highly driven and experienced Senior Product Manager to lead the definition and delivery of our AI/ML Platform strategy.

Reporting to the Director of Product - DocV & Machine Learning, this is a pivotal individual contributor (IC) role where you’ll work cross-functionally to define the roadmap, guide execution, and deliver scalable AI/ML capabilities to customers and internal teams.

This is a full-time hybrid position based out of our Mount Pleasant office in Vancouver or San Diego, California with three in-office days per week.

What You’Ll Be Doing:

Lead the full lifecycle of AI/ML deployment—from procuring training data and collaborating with the ML team on model evaluation, to identifying dependencies, coordinating with Design and Engineering on deployment, and driving post-deployment monitoring and evaluation.
Own and maintain governance documentation and AI/ML process documentation to support internal teams, customers, and RFPs.
Define the critical features and own the roadmap for bringing high-scale, high-performance AI/ML to Trulioo customers and internally.
Your cross-team collaboration skills will enable those improvements to be conceptualized and delivered to drive meaningful and impactful business outcomes.
Translate customer value and business imperatives into actionable technical requirements, collaborating across execution teams to ensure insights and inputs shape the entire product lifecycle.
Act as the subject matter & technical expert on ML Models for internal and external stakeholders.
Drive accountability for achieving product quality, incremental delivery, and measurable customer value.
Engage directly with customers, sales, product, marketing, and engineering across the product lifecycle in a fast-paced, high-growth environment.
Define product specifications, user stories, mockups, and acceptance criteria independently and in collaboration with engineering, product management, and documentation teams.
Partner with Engineering, ML, and release teams to plan, drive, and execute release cycles.
Work with Product Marketing to create content, simplifying and communicating complex technical concepts for diverse audiences.
Collaborate with Compliance, Legal, and Finance to ensure products meet security, regulatory, and financial standards.

You Have:

5+ years of product management experience in FinTech, RegTech, Payments, or Financial Services, with a focus on KYB, identity verification, or onboarding.
Hands-on experience with Large Language Models (LLMs), Agentic AI systems, ML Ops practices, and AI/ML Governance.
Exceptional cross-functional collaboration skills with engineering, design, marketing, compliance, and business stakeholders.
Strong sense of empathy to care deeply about customer problems and the user experience.
Analytical thinking skills and a data-informed approach to decision-making.
Strong communication skills, including the ability to translate sophisticated technical products and features into simple concepts and presentations.

It’s a bonus if you have:

Bachelor’s degree in a relevant field or equivalent practical experience.

\n\n\nPay Transparency\n \nTo provide greater transparency to candidates we share the base pay ranges for all US-based job postings. We set standard base pay rates for all roles based on function, level and location, benchmarked against similar stage growth companies. Additionally, Trulioo offers a wide range of benefits to US-based employees including medical, dental, and vision insurance, 401k program with employer match, education & training reimbursement and parental leave.\n \nThe anticipated base salary range for this position is meant to reflect an expected salary range is for California residents and is based upon market data and other factors, all which are subject to change. Final offer amounts are determined by multiple factors including but not limited to location, skills, depth of work experience and/or relevant licensing/credentials.California Pay Range$125,000—$175,000 USD\n\n

Thriving At Trulioo

At Trulioo, you’re not just an employee. You’re a valued member of our Trulicrew on a journey of professional and personal growth with a world-class organization. With Trulioo, you have the power to revolutionize the intersection of technology, digital trust and online identity to open the global economy to everyone. Together, we can shape the digital future.

We’re on the lookout for exceptional people to empower with trust, autonomy and the freedom to cultivate their potential. Your curiosity, meticulous attention to detail and passion to contribute are highly valued. If that resonates with you, apply today to become a part of our team. Join us in shaping a future where your career isn’t just a journey but also a boundless exploration into the possibilities of technology and digital identity verification.

If you don’t see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that minorities and underrepresented groups often only apply when they feel 100% qualified. We are committed to creating a more equitable, inclusive and diverse company and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientations, and life experiences to apply.

Trulioo welcomes applications from people with disabilities. Support is available upon request for candidates taking part in all aspects of the selection process. Finally, we know from time-to-time emergencies happen and you may need to reschedule an interview - we understand and encourage you to be in communication without worrying about losing the opportunity or your credibility.

\n\n

Privacy Notice

As part of our job application process, Trulioo collects, processes, and discloses personal data for the purpose of identifying suitable candidates for our job openings. For more detail, please visit Trulioo’s Website Privacy Policy in the section “When you apply for a job”.

\n\n","hiringOrganization":{"@type":"Organization","name":"Trulioo","sameAs":"https://www.trulioo.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Diego, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":19,"item":{"@type":"JobPosting","title":"Senior Product Manager (AI/ML)","datePosted":"2025-09-22","description":"

But Trulioo is more than a tech company. We are a united force of dedicated experts committed to establishing trust online.

What We Offer

Comprehensive Benefits: We provide a robust benefits package for full-time, permanent employees, including health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education & training stipend (equivalent to $1,000 in local currency). Specific benefits may vary by location and will be discussed further during the interview process.
Flexible Hybrid Working Environment: Our offices are designed to support both collaboration and flexibility. Enjoy weekly lunches, quality coffee, and regular social events. Many locations also feature parent rooms, on-site gyms, comfortable lounges, and adaptable workstations to support your comfort and productivity.
Wellness: We care about your well-being. Team members have access to wellness workshops and events, as well as a complimentary Headspace subscription to help you stay focused, grounded, and energized.
Employee Resource Groups: Belonging is an important part of doing your best work. Our ERGs provide an inclusive space, support and community for employees of diverse backgrounds and allies. We host informative, fun sessions and celebrations that are often open to the entire organization.

\n\n

Position Summary:

Trulioo is seeking a highly driven and experienced Senior Product Manager to lead the definition and delivery of our AI/ML Platform strategy.

This is a full-time hybrid position based out of our Mount Pleasant office in Vancouver or San Diego, California with three in-office days per week.

What You’Ll Be Doing:

Lead the full lifecycle of AI/ML deployment—from procuring training data and collaborating with the ML team on model evaluation, to identifying dependencies, coordinating with Design and Engineering on deployment, and driving post-deployment monitoring and evaluation.
Own and maintain governance documentation and AI/ML process documentation to support internal teams, customers, and RFPs.
Define the critical features and own the roadmap for bringing high-scale, high-performance AI/ML to Trulioo customers and internally.
Your cross-team collaboration skills will enable those improvements to be conceptualized and delivered to drive meaningful and impactful business outcomes.
Translate customer value and business imperatives into actionable technical requirements, collaborating across execution teams to ensure insights and inputs shape the entire product lifecycle.
Act as the subject matter & technical expert on ML Models for internal and external stakeholders.
Drive accountability for achieving product quality, incremental delivery, and measurable customer value.
Engage directly with customers, sales, product, marketing, and engineering across the product lifecycle in a fast-paced, high-growth environment.
Define product specifications, user stories, mockups, and acceptance criteria independently and in collaboration with engineering, product management, and documentation teams.
Partner with Engineering, ML, and release teams to plan, drive, and execute release cycles.
Work with Product Marketing to create content, simplifying and communicating complex technical concepts for diverse audiences.
Collaborate with Compliance, Legal, and Finance to ensure products meet security, regulatory, and financial standards.

You Have:

5+ years of product management experience in FinTech, RegTech, Payments, or Financial Services, with a focus on KYB, identity verification, or onboarding.
Hands-on experience with Large Language Models (LLMs), Agentic AI systems, ML Ops practices, and AI/ML Governance.
Exceptional cross-functional collaboration skills with engineering, design, marketing, compliance, and business stakeholders.
Strong sense of empathy to care deeply about customer problems and the user experience.
Analytical thinking skills and a data-informed approach to decision-making.
Strong communication skills, including the ability to translate sophisticated technical products and features into simple concepts and presentations.

It’s a bonus if you have:

Bachelor’s degree in a relevant field or equivalent practical experience.

\n\n\n

Pay Transparency (Vancouver)

We take a market-based and data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, location, and scope.

Please view the base salary range for this role below. The range listed is our expected compensation for the role. However, the pay offered may vary depending on a variety of factors including qualifications, job-related knowledge, skills, experience, and location.

Annual Salary$125,000—$175,000 CAD\n\n

Thriving At Trulioo

\n\n

Privacy Notice

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Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.

The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.

About Us

We’re an early-stage startup on a mission to reinvent cybersecurity with AI-native infrastructure. Our vision is to help defenders move faster than adversaries by combining large-scale data, modern AI, and intelligent automation. We’re backed by top-tier investors and working with design partners across critical infrastructure and enterprise security. If you’re excited about building from the ground up and shaping the future of AI in cybersecurity, we’d love to talk.

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We are hiring multiple AI/ML Engineering positions at various levels of seniority.

This is a hybrid role with the expectation of working in our San Jose office 3 days per week.

About The Role

We’re hiring an AI/ML Engineer to design, build, and deploy machine learning systems at the heart of our platform. You’ll work on problems like dynamic threat detection, LLM-powered agent reasoning, RAG pipelines, and adversarial behavior modeling. You’ll collaborate across research, backend, and security teams to ship high-impact features fast.

If you're a hands-on ML engineer who loves shipping smart systems in messy real-world domains, this is for you.

What You’Ll Do

Build and fine-tune models for threat detection, anomaly detection, and behavioral modeling (supervised, unsupervised, and semi-supervised).

Implement and optimize LLM-powered agents that reason over structured and unstructured security data.
Develop RAG pipelines that combine embeddings, vector search, and context injection.
Work with streaming and historical security data (logs, events, alerts) to train and evaluate models.
Collaborate with backend and platform teams to deploy models in scalable, low-latency environments.
Continuously improve model performance, robustness, and explainability.
What We’re Looking For
3+ years of hands-on experience in applied ML or MLOps (or PhD with practical implementation).
Strong ML fundamentals (classification, clustering, anomaly detection, embedding techniques).

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Experience working with real-world noisy data, ideally in time series, logs, or graph-structured form.

Experience with LLMs (e.g., OpenAI, Mistral, Llama), embeddings, and vector databases. Well-versed in techniques for long context (chunking, sliding window, hierarchical summarization).

Solid skills in Python, PyTorch or TensorFlow, and ML pipelines.

Strong collaboration and ownership mindset—you write clean code, ask great questions, and iterate quickly.

Someone who is looking for a hybrid work environment, with a minimum of 3 days in the San Jose office.

Nice To Have

Familiarity with cybersecurity data (SIEM logs, alerts, EDR telemetry, threat reports).

Experience with agent frameworks (LangChain, AutoGen, CrewAI) and agent protocols.

Exposure to adversarial machine learning or explainability techniques.

Infra skills for ML (Docker, K8s, GPU scheduling, model serving).

Why Join Us?

Founding-level equity and full-stack ownership.

Work on hard, meaningful problems at the intersection of AI and security.

High agency, fast learning, direct access to customers and users.

Backed by seasoned operators and security leaders.

Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position.  Vectra Total Rewards$165,000—$200,000 USD

Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive plan eligibility, and participation in the employee equity plan (stock options). Specific benefits offered varies by location, but commonly include health care insurance, income protection / life insurance, access to retirement savings plans, behavioral & emotional wellness services, generous time away from work, and a comprehensive employee recognition program.

Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

\n","hiringOrganization":{"@type":"Organization","name":"Vectra","sameAs":"https://www.vectra.ai/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Jose, CA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":21,"item":{"@type":"JobPosting","title":"Engineering Manager - AI & ML Infrastructure","datePosted":"2025-09-22","description":"

Our Mission: To Eliminate Every Barrier To Mental Health.

At Spring Health, we’re on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it’s therapy, coaching, medication, or beyond—tailored to each individual’s needs.

We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we’ve been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers.

We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We’re just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere.

As the Engineering Manager of our AI/ML Platform team, you will be central to our mission to accelerate the delivery of cutting-edge improvements that remove barriers to mental health. Together, you and your team will be responsible for building and scaling the core AI and ML platforms that empower all our product teams. You will report to the Director of AI & ML on the Data Products group and collaborate with her to execute on the vision for maturing this infrastructure. Your work will directly enable us to get critical features into the hands of users sooner in a safe and robust way.

This is a role for a leader who leads from the front. As a player-coach, you will be deeply engaged in the technical details, guiding the team through complex decisions on architecture, AI safety, and workflows using tools like LangGraph. Your hands-on expertise is the foundation for your true focus: amplifying the team's impact through team leadership and mentorship. You will achieve this by fostering a culture of high standards, driving accountability on execution, and ensuring the team has the clarity and support needed to turn ambitious roadmaps into reality.

Please note that candidates for this position must be based in the San Francisco Bay Area and be willing to commute 2-3 days a week to our office at 2 Embarcadero, San Francisco, CA

What You’Ll Do:

Provide Technical Leadership: Guide the team through complex architectural decisions across the full AI/ML stack, from our core ML infrastructure (e.g., model registry, CI/CD, feature stores) to LLM orchestration and observability.
Champion AI Trust & Safety: Work in close partnership with our AI Trust team to translate principles like clinical norms, fairness, and transparency into concrete technical controls and guardrails. You will help implement standard practices and patterns that make it easy to include safety guardrails for new applications.
Drive Operational Excellence: Improve our MLOps and LLMOps capabilities. You will help establish robust, automated monitoring for model performance, latency, and cost; define SLOs for platform components; and build the CI/CD pipelines that enable teams to deploy and iterate on models safely and quickly.
Execute on Strategy and Drive Alignment: Break down large initiatives into clear, phased roadmaps. You will be a key partner for your product manager in navigating complex prioritization decisions and making strategic trade-offs.
Manage Stakeholders and Communicate Progress: Build strong relationships and manage dependencies across the organization, including with Product, Member Experience, and Clinical teams. You'll track and communicate KPI-focused metrics that measure your platform's health, adoption rate, and impact on developer velocity.
Lead a High-Performing Team: Foster a culture of psychological safety and continuous learning where engineers feel empowered to do their best work. You will attract, hire, and retain top-tier ML engineering talent.
Drive Accountability and Performance: Set clear and ambitious goals and KPIs for your team. You will establish a rhythm of accountability through regular check-ins and performance reviews, addressing underperformance constructively while celebrating wins.
Coach and Develop Talent: Actively mentor engineers to grow their technical and soft skills. You will use our career ladders to create personalized development plans that align individual ambitions with team and company goals.

What Success Looks Like:

Velocity & Safety: Your team’s work on reusable AI safety guardrails and core platform components measurably reduces the time it takes for product teams to ship new AI features to production.
LLM Platform Maturity: You mature our LLM platform by delivering on key roadmap phases, including CI/CD for prompts, automated monitoring and alerting, and A/B testing capabilities. You also lead the design and implementation of infrastructure for advanced capabilities like RAG, fine-tuning, and LLM memory.
ML Platform Maturity: You lead your team's work on standardizing our ML infrastructure, resulting in a centralized model registry, automated deployment pipelines, and standardized development environments for data scientists.
Platform Adoption: You successfully advocate for scalable and robust patterns, demonstrably increasing the percentage of models and AI features that are built and operated on your team's core infrastructure.

What You’Ll Bring:

Proven Leadership: 2-4+ years in a formal engineering management role. You have direct experience leading teams of 4+ engineers and a history of productionizing successful AI/ML platforms and solutions.
LLM Operations Expertise: 1+ years of experience iteratively building AI-empowered tools and ensuring they are operating safely and at scale. You have hands-on experience with the modern AI stack, including orchestration frameworks like LangGraph, observability tools like LangSmith, and best practices for prompt engineering and building safety guardrails.
Machine Learning Expertise: 5+ years of experience in software or machine learning engineering, with a background as a Senior MLE, SRE, or DevOps Engineer working on ML infrastructure. You have hands-on experience building, evaluating, and deploying machine learning models.
Technical Proficiency: Strong understanding of the modern AI/ML stack, including cloud services (AWS, GCP, Azure), container orchestration (Kubernetes), IaC (Terraform), and CI/CD systems. You are proficient in Python and have experience with LLM tools like LangGraph and LangSmith.
Strategic Mindset: Demonstrated ability to collaborate with product management and other cross-functional partners in an outcome-driven environment.
Project Management Skills: A history of successfully delivering complex, multi-month technical projects.
Security and Privacy Awareness: We work with sensitive data - ensuring that our pipelines and processes respect the trust of our customers and legal requirements is essential. Previous experience in a medical / health records industry is preferred.

The target base salary range for this position is $159,100 - $213,565, and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.

Benefits Provided By Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
Employer sponsored 401(k) match of up to 2% for retirement planning
A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
We offer competitive paid time off policies including vacation, sick leave and company holidays.
At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals.
Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
Up to $1,000 Professional Development Reimbursement a year.
$200 per year donation matching to support your favorite causes.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.

Ready to do the most impactful work of your life? Learn more about our values, what it’s like to work here, and how hypergrowth meets impact at Spring Health: Our Values

Our privacy policy: https://springhealth.com/privacy-policy/

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

","hiringOrganization":{"@type":"Organization","name":"Spring Health","sameAs":"https://www.springhealth.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA (Hybrid)","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":22,"item":{"@type":"JobPosting","title":"Software Engineer III - Android","datePosted":"2025-09-22","description":"

At Playlist, life's richest moments happen when people step away from screens to move, connect, explore, and play. We're building the definitive platform for intentional living, connecting people with inspiring experiences in fitness, wellness, and beyond. With popular brands like Mindbody and ClassPass, Playlist empowers businesses and individuals, making it effortless for aspirations to become actions. Join us in reshaping technology's role to foster meaningful, real-world connections.

Mindbody equips wellness entrepreneurs with technology to support thriving businesses and create exceptional experiences. Innovation and curiosity drive our culture, connecting businesses and individuals through cutting-edge solutions. Join us if you're passionate about enhancing wellness through technology.

Who We Are

We’re a passionate engineering team, developing and supporting a product where most of our users open the app more than 20 times per month. We are faced with an interesting set of technical challenges, and we believe in giving our engineers the autonomy to go and solve them. Much of our team comes from non-traditional computing backgrounds; we know that by bringing together a diverse set of voices we’ll be able to build a better product, and a better company. We care less about what languages or frameworks you know, and care more that you are excited to work with highly impactful teams and be constantly learning. Our engineers work in cross-functional teams that are focused on impact, and movement between teams is encouraged. We work very closely with our brilliant product team to deliver a world class user experience, and ultimately to empower our users to live their fullest, healthiest lives.

Your Role

As a Senior Android Engineer you’ll be a key member of a cross-functional team focused on creating new features for the ClassPass mobile apps. You love to build robust and user friendly apps. You know how to separate concerns between the different layers of a mobile codebase, from the user interface components right down to the model layer. You know the best software is created through collaboration and iteration and you’re looking for the right opportunity, and the right team, to expand your experience. You like to ship software early and often, you value simplicity and strive to eliminate unnecessary.

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You'll likely spend time working on

Collaborating closely with product & design, shipping early and often.
Providing leadership and mentorship for junior engineers through thoughtful code reviews, pairing, and technical discussions.
Seeking feedback because it you know has the ability to turn good work into great work.
Writing clear and concise technical documents.
Keeping up to date with the latest technologies and industry trends, and sharing them with the team.

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You'll thrive in this role with experience in:

Track record of shipping successful apps to the App Store.
Proven analytical abilities and propensity for problem solving.
Initiative to identify process and systems improvements and to take ownership of implementation.
Bias for action, driving impact, and initiating ideas.

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Technologies you'll be working in

Android, Jetpack Compose, and RxKotlin.
Experience working on a large modular codebase that was started a decade ago and needs to be well architected for the next decade of growth.
React Native experience is a plus, but we’re mostly migrated off it so not a requirement!
(optional) experience with server-side JVM applications (most of our backend is written in Kotlin too!)

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About the right team member

You know the best software is created through collaboration and iteration and you’re looking for the right opportunity, and the right team, to expand your experience. You seek feedback because it has the ability to turn good work into great work. You like to ship software early and often; you value simplicity and strive to eliminate unnecessary complexity.

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At Mindbody + ClassPass we value people who are intellectually curious, who are pragmatic not dogmatic, and people who care about our product, their teammates, and their own personal growth. We are faced with an interesting set of technical challenges, and we believe in giving our engineers the autonomy to go and solve them. Much of our team comes from non-traditional computing backgrounds; we know that by bringing together a diverse set of voices we’ll be able to build a better product, and a better company. We care less about what languages or frameworks you know, and care more that you are excited to produce high-quality code and be constantly learning. Our engineers work in cross-functional teams that are focused on impact, and movement between teams is encouraged. We work very closely with our brilliant product team to deliver a world class user experience, and ultimately to empower our users to live their fullest, healthiest lives.

Have We Piqued Your Curiosity?

Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.

Playlist is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.

By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at Playlist, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable).

Note: This description outlines key responsibilities but isn’t intended to cover every task or duty. Additional responsibilities may be assigned as needed to support the team and business goals.

","hiringOrganization":{"@type":"Organization","name":"Mindbody","sameAs":"https://www.mindbodyonline.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico","addressCountry":"Mexico","addressRegion":"North America"}}}},{"@type":"ListItem","position":23,"item":{"@type":"JobPosting","title":"Software Engineer III - Android","datePosted":"2025-09-22","description":"

ClassPass offers thousands of fitness and wellness experiences worldwide, helping people lead active, balanced lifestyles. Our platform makes discovering and enjoying activities simple, personalized, and joyful—whether it's fitness classes, self-care sessions, a healthy lunch, or a new adventure. Join us in shaping healthier, more vibrant communities around the globe.

Who We Are

Your Role

As a Android Engineer III you’ll be a key member of a cross-functional team focused on creating new features for the ClassPass mobile apps. You love to build robust and user friendly apps. You know how to separate concerns between the different layers of a mobile codebase, from the user interface components right down to the model layer. You know the best software is created through collaboration and iteration and you’re looking for the right opportunity, and the right team, to expand your experience. You like to ship software early and often, you value simplicity and strive to eliminate unnecessary.

\n\n

You'll likely spend time working on

Collaborating closely with product & design, shipping early and often.
Providing leadership and mentorship for junior engineers through thoughtful code reviews, pairing, and technical discussions.
Seeking feedback because it you know has the ability to turn good work into great work.
Writing clear and concise technical documents.
Keeping up to date with the latest technologies and industry trends, and sharing them with the team.

\n\n\n\n\n\n

You'll thrive in this role with experience in:

Track record of shipping successful apps to the App Store.
Proven analytical abilities and propensity for problem solving.
Initiative to identify process and systems improvements and to take ownership of implementation.
Bias for action, driving impact, and initiating ideas.

\n\n\n\n\n

Technologies you'll be working in

Android, Jetpack Compose, and RxKotlin.
Experience working on a large modular codebase that was started a decade ago and needs to be well architected for the next decade of growth.
React Native experience is a plus, but we’re mostly migrated off it so not a requirement!
(optional) experience with server-side JVM applications (most of our backend is written in Kotlin too!)

\n\n\n

About the right team member

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Have We Piqued Your Curiosity?

","hiringOrganization":{"@type":"Organization","name":"ClassPass","sameAs":"https://classpass.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brazil","addressCountry":"Brazil","addressRegion":"South America"}}}},{"@type":"ListItem","position":24,"item":{"@type":"JobPosting","title":"Staff Software Engineer, AI/ML","datePosted":"2025-09-22","description":"

Company Description

COMPANY DESCRIPTION (DEFAULT):
\nVERSANT, Comcast Corporation’s (NASDAQ: CMCSA) planned spin-off, will be a leading independent publicly traded media company comprised of most of NBCUniversal’s cable television networks, including USA Network, CNBC, MSNBC, Oxygen, E!, SYFY and Golf Channel along with complementary digital assets Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. The well-capitalized company will have significant scale as a pure-play set of assets anchored by leading news, sports and entertainment content. The spin-off is expected to be completed during 2025, subject to the satisfaction of customary conditions.

BUSINESS OVERVIEW:
\nAt VERSANT Media’s Sports & Entertainment Digital Products division, we’re driven by a shared mission: to innovate, create unforgettable experiences, and connect with fans through the power of technology. Our diverse portfolio brings together industry-leading platforms that serve millions of users across the sports and entertainment landscape.

In sports, we empower over 30 million players, coaches, administrators, and fans in 40 countries through more than 25 digital products. These include SportsEngine, the largest youth sports club, league, and team management platform; SportsEngine Play, the first-ever streaming service dedicated to youth and amateur sports; GolfNow, the top online tee time marketplace and golf course operations technology provider; and GolfPass, the ultimate golf membership that delivers exclusive content, tee time benefits, expert instruction, and more.

In entertainment, we reach over 50 million movie and TV fans through our trusted digital brands. Our platforms support every stage of the fan journey – from discovering content to enjoying it on the big screen or at home. Our portfolio includes Fandango, the nation’s leading online movie ticketing service, partnering with more than 31,000 U.S. movie screens; Rotten Tomatoes, the iconic destination for movie and TV reviews; and Fandango at Home (formerly Vudu), our on-demand streaming service offering more than 250,000 titles, including new releases, next-day TV, and the largest selection of 4K UHD content in the industry.

Together, we’re shaping the future of how people experience the sports they play and the stories they love.

This opportunity is within our Fandango group – a collection of trusted entertainment brands that guide over 50 million movie and TV fans throughout their viewing journey. Whether it’s purchasing tickets to their favorite blockbusters through Fandango, reading trusted reviews on Rotten Tomatoes, or streaming the latest releases at home via Fandango at Home, our platforms help audiences find, watch, and enjoy content with ease. Our team thrives on shaping how people discover and experience entertainment, one screen at a time.

Job Description

About The Role

We are seeking a Staff Software Engineer to serve as the technical anchor of our internal innovation team. This role combines deep technical expertise with leadership across architecture, product thinking, and stakeholder engagement.

You’ll guide a cross-disciplinary team, mentor engineers across levels, and partner closely with Engineering Leadership and business stakeholders to turn high-level opportunities into working platforms. The role is hands-on but also highly influential: you’ll ensure technical excellence while balancing speed with rigor—shipping solutions quickly while laying down patterns that can scale if adopted long-term.

You’ll also help define how projects are structured, built, and transitioned for production support, ensuring solutions deliver both immediate impact and lasting value.

What You'Ll Do

As a Staff Software Engineer on our team, you will:

Catalyst for Innovation – Lead the design and development of platforms that solve high-impact problems where no off-the-shelf solution exists.
Architect & Builder – Translate ambiguous business needs into clear technical direction, delivering production-grade systems from prototype to platform.
Scale with Confidence – Design systems that can evolve rapidly while maintaining reliability, scalability, and long-term maintainability.
Mentor & Elevate – Guide engineers across levels, setting standards for engineering excellence and fostering a culture of technical depth.
Cross-Functional Collaboration – Partner with product, design, AI/ML, and business stakeholders to define scope, clarify tradeoffs, and ensure success.
From Zero to Platform – Rapid prototyping and driving projects from concept to delivery, ensuring ongoing ownership of the platforms.
Operational Excellence – Embed best practices in CI/CD, observability, and security from the start, ensuring production-readiness and support.

Qualifications

What We'Re Looking For

8+ years of professional software engineering experience, with 2–3 years at Staff/Principal level or equivalent.
Deep expertise in distributed systems, APIs, or full-stack platform development.
Hands-on experience with cloud-native environments (containers, serverless, CI/CD pipelines).
Familiarity with AI/ML systems (LLMs, RAG, applied ML).
Ability to lead technical direction while remaining hands-on.
Strong communicator, able to explain tradeoffs to executives and mentor engineers.
Comfortable working in ambiguous, high-autonomy environments.
Track record of delivering complex solutions that align technical strategy with business needs.

Bonus Points For

Experience with other large entertainment focused platforms, centered around being consumer-facing at a large scale
Familiarity and hands-on exposure with MCP Servers and highly accessible and available API platforms
Knowledge of microservices and event-driven architectures at enterprise scale
Cloud-native, global scaling experience (AWS and their various tool offerings)
Understanding of the mindset of “Fail Fast, Learn Fast” and continuous improvement

Fully Remote: This role has been designated as fully remote, meaning it is expected to be performed from a non-Versant worksite, typically an employee’s residence. Occasional travel is required and can range from within the country (typical, various times of the year) to global (not typical but still possible).
\n
\n#LI-Remote

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.

Although you'll be hired as an NBCU employee, your employment and the responsibilities associated with this job likely will transition to Versant in the future. By joining at this pivotal time, you'll be a part of this exciting company as it takes shape.

For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.

","hiringOrganization":{"@type":"Organization","name":"NBCUniversal","sameAs":"https://www.nbcunicareers.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Orlando, FL, United States","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":25,"item":{"@type":"JobPosting","title":"Senior Technical Recruiter, AI/ML Recruiting Expert","datePosted":"2025-09-22","description":"

Senior Technical Recruiter, AI/ML Recruiting Expert

Location: Palo Alto, CA (on-site)

About 1x

We’re an AI and robotics company based in Palo Alto, California, on a mission to build a truly abundant society through general-purpose robots capable of performing any kind of work autonomously.

We believe that to truly understand the world and grow in intelligence, humanoid robots must live and learn alongside us. That’s why we’re focused on developing friendly home robots designed to integrate seamlessly into everyday life. We’re looking for curious, driven, and passionate people who want to help shape the future of robotics and AI. If this mission excites you, we’d be thrilled to hear from you and explore how you might contribute to our journey.

Role Overview

We are seeking a Senior Technical Recruiter with deep expertise in AI/ML recruiting to help build a category-defining team. This person will also operate as the team lead, setting recruiting strategy and mentoring other team members. In this role, you will own full-cycle recruiting and collaborate closely with the VP of AI and VP of Software to find and attract top talent. This is a high-impact position where you will drive and refine the hiring process, enhance the candidate experience, and elevate our talent brand in the deep tech space.

Responsibilities

Own full-cycle recruiting for technical roles in AI, machine learning, firmware, and software engineering
Partner directly with the VP of AI, VP of Software, and hiring managers to define talent needs, craft job descriptions, and calibrate profiles
Proactively source top-tier candidates through outbound outreach, networking, and events
Deliver an exceptional candidate experience from first contact through onboarding
Lead and optimize interview processes and scorecards for consistency and effectiveness
Champion 1X’s employer brand in the AI and robotics communities through events and online presence
Collaborate cross-functionally with People Operations and HR to enhance recruiting tools and systems
Provide mentorship and leadership to other recruiters on the team
Drive recruiting strategy, prioritization, and process improvements across the Talent function

Requirements

Extensive experience in full-cycle technical recruiting, ideally within high-growth tech or robotics companies
Deep expertise and proven track record in recruiting for AI/ML roles
Demonstrated success hiring for software engineering roles in competitive markets
Strong understanding of technical concepts across AI, embedded systems, firmware, and software
High agency and low ego; ability to operate autonomously and deliver results
Creative mindset with a track record of rethinking and improving talent processes
Experience recruiting for robotics, embedded hardware, or edge AI teams is a plus
Technical background or education (e.g., CS degree, bootcamp, or project work) preferred
Experience with employer branding or talent marketing in deep tech spaces is a bonus
Leadership experience in a recruiting function, including mentoring team members and driving strategic initiatives
Salary Range: $132,000 – $186,000

Benefits & Compensation

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Equal Opportunity Employer 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, or any other characteristic protected under applicable federal, state, or local law.

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Who We Are:

Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.

Who You Are:

As a Software engineer III, you will execute on product’s vision for a modern, frictionless, scalable, API first and persona-driven customer identity and access management system, which collectively result in the best end-to-end Life & Annuities solution in the industry. You will partner with fellow engineers to create a reusable, predictable, and discoverable design and development framework allowing rapid, consistent, and maintainable customer authentication and authorization solutions. We are seeking a team player with users and API security skills, and a proven track record of successful delivery.

What You’Ll Do:

Implement API policies, procedures, and guidelines.
Develop enterprise API solutions using an industry leading API platform (Kong).
Integrate the enterprise CIAM solution for all internal and external APIs.
Collaborate with CIAM team to extend its capability to serve our clients.

What You’Ll Need:

Bachelor’s degree in computer science, Computer Engineering, or related technical field.
5+ years of software development experience using typescript frameworks like NestJS.
Understanding in supporting APIs.
Working knowledge of AWS services such as Lambda, EC2, S3, etc.
Working knowledge of common DevOps tasks (Environment provisioning, CI/CD Pipelines, and application monitoring).
Excellent work ethic. Ability to work and travel independently. Effective strategic thinking skills.
Expert level communication, interpersonal, and critical thinking skills. Expert level troubleshooting skills.
Ability to influence, lead, and work as part of a cross-functional, distributed team.
Experience working in an Agile/Scrum environment.

WHAT’S IN IT FOR YOU?

Zinnia offers excellent career progression and competitive compensation with the goal of retaining and growing talented team members. The salary range for this role is a good faith estimate; it is estimated based on what a successful candidate might be paid in certain Company locations. The salary range for this position is $115,000 - $120,000. All offers presented to candidates are carefully reviewed to ensure fair, equitable pay by offering competitive salaries that align with the individual’s skills, education, experience, training, and geographic location. The range may vary above or below the stated amounts. We offer great benefits, including health/dental insurance, parental leave, profit sharing, 401(k), incentive/bonus opportunity, tuition reimbursement, and so much more. We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

Notice for California residents: Information about how we collect and use your personal information can be found here.

#LI-AS2

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Software Engineer III, Backend.

About Rent the Runway

Founded in 2009, Rent the Runway is disrupting the trillion-dollar fashion industry and changing the way women get dressed through the Closet in the Cloud, the world’s first and largest shared designer closet. RTR’s mission has remained the same since its founding: powering women to feel their best every day. Through RTR, customers can subscribe, rent items a-la-carte and shop resale from hundreds of designer brands. The Closet in the Cloud offers a wide assortment of millions of items for every occasion, from evening wear and accessories to ready-to-wear, workwear, denim, casual, maternity, outerwear, blouses, knitwear, loungewear, jewellery, handbags, activewear, ski wear, home goods and kidswear. RTR has built a two-sided discovery engine, which connects deeply engaged customers and differentiated brand partners on a powerful platform built around its brand, data, logistics and technology. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list four times, while Hyman herself has been named to the “TIME 100: Most Influential People in the World\" and as one of People Magazine’s “Women Changing the World.”

Galway Office

Rent The Runway established its European Technology Hub in Galway in April 2019. Based in the historic Claddagh area of the city, the growing team in Galway tackles core technology challenges and influences the next generation of services critical to Rent The Runway’s success and continued growth.

The Galway office is Rent the Runway's first international office outside the US and enables the company to significantly expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science footprint. Rent The Runway’s Galway-based employees have the opportunity to grow their careers across several roles and career paths in Technology.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and work hard to give back to the software community through open-source contributions.

We are always interested in speaking with developing and experienced BE engineers who are interested in joining our team. If that’s you, read on for a snapshot of the type of work our BE engineers do across our various teams, share your details and a member of our Talent team will be in touch!

About The Role:

You’ll be working with the Commerce Services Engineering Team focused on services responsible for e-commerce and order management functionality. You’ll improve the architecture, functionality, quality and continuous delivery of the service and its subsystems. You’ll build robust services that uphold the financial integrity of our commerce data. You’ll evolve the services to scale with the business and adapt to changes in business direction, including our push to maintain cloud stability and a leader in the circular economy.

What You’Ll Do:

Participate in all aspects of agile software development including design, implementation, and deployment for the user Interface of internal tools that power our back-of-house systems
Find architectural and internal design improvements to enable rapid growth in traffic and order volumes.
Our engineering team working in the following stack of technologies which you will have the opportunity to deepen or upskill your knowledge of: Java, Kotlin, MySql, Mongo, RabbitMQ/Kinesis, Spring Boot, Bootstrap, Splunk, Splunk Cloud, SignalFX, GCP.
Deliver software on a sustainable schedule that keeps work-life balance in mind.
You’ll work to evolve our e-commerce platform, building clear domain models of orders, invoices, and payments.
You’ll ensure financial data is clean, complete, accurate and delivered to downstream systems.
You’ll build intuitive and well tested APIs for manipulating orders post-checkout.
Work with business stakeholders to identify software solutions to business challenges.
Experience working as part of a cross-functional development team.

About You:

Degree in computer science, software engineering and/or 3+ years of programming experience
Professional experience with OOP concepts and design patterns using Java/Kotlin SQL, with Hibernate or other JPA vendor framework advantageous
Learned from the experience of shipping multiple large, complex software projects
Able to learn new tools and technologies quickly
Experience working as part of a team software development effort
Ability to manage your time and juggle competing priorities
Exceptional communication skills
Approach collaboration with curiosity and a learning mindset demonstrating a willingness to mentor and learn from teammates and foster an inclusive, empowering team dynamic

Benefits:

At Rent the Runway, we’re committed to the happiness and wellbeing of our employees, and aim to create a workplace that fosters personal and professional growth. Our inclusive benefits include, but are not limited to:

Generous Paid Time Off including annual leave, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family.
Universal Paid Parental Leave for both parents + flexible return to work program - because we know your newest family member(s) deserve your undivided attention.
Paid Sabbatical after 5 years of continuous service - unplug, recharge, and have some fun.
Competitive Stakeholder Pension - taking care of your future.
Comprehensive health, dental care and dependents care from day 1 of employment - Your health comes first and we’ve got you covered.
Company wide events and outings - our team spirit is no joke - we know how to have fun!
Hybrid Work - This is a hybrid role based in our Galway, Ireland office. Employees have the option to work remotely 2-3 days per week.

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee on any legally-recognised basis, including, but not limited to: gender, marital status, family status, age disability, sexual orientation, race, religion, and membership of the Traveller community.

#Li-Em1

By submitting your application below, you agree that you have read and acknowledge Rent the Runway's Candidate Privacy Policy, found here.

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Join Vonage And Help Us Innovate Cloud Communications For Businesses Worldwide!

About The Role

We are seeking a Senior Test Engineer with expertise in AI/ML systems testing, data validation, and model quality assurance. In this role, you will design and implement strategies to ensure that machine learning models, pipelines, and AI-driven applications meet the highest standards of accuracy, reliability, and fairness.

This position is highly technical, requiring strong experience in testing data-driven workflows, validating ML pipelines, and automating AI-specific test cases. You will collaborate closely with data scientists, ML engineers, and software developers to embed quality checks across the AI lifecycle - from data ingestion to model deployment.

What You’Ll Do

Build and maintain automated test frameworks for AI/ML workflows.
Validate ML models and data pipelines for accuracy, performance, and fairness.
Design test strategies for training, inference, and drift detection.
Ensure data quality across ingestion, feature engineering, and post-training.
Test AI-based APIs and services (NLP, computer vision, generative AI).
Integrate validation checks into CI/CD and MLOps pipelines.
Mentor junior QA engineers on AI/ML testing best practices.

What We’Re Looking

8+ years in QA/test automation, with 2+ years in AI/ML testing.
Strong Python skills (Pytest, Pandas, NumPy).
Hands-on with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Familiarity with MLOps tools (Kubeflow, MLflow, SageMaker).
Experience testing data pipelines (Airflow, Spark, Glue, Kafka).
Knowledge of API testing (REST/gRPC).
Strong grasp of CI/CD for ML systems.

Preferred Qualifications

Experience testing LLMs or generative AI.
Familiarity with vector databases (Pinecone, FAISS, Weaviate).
Knowledge of AI governance and compliance frameworks.

Exposure to data observability tools (Great Expectations, Monte Carlo).

How You’Ll Benefit:

Attractive Discretionary Time Off
Private Medical Insurance with optional dependent coverage
Educational Assistance Reimbursement Program
Opportunities for reimbursement for conferences, trainings, and other personal development events
Maternity and Paternity Leave
Additional benefits and perks will be shared and discussed with you by the recruiter during the interview process.

Note: The purpose of this profile is to provide a general summary of essential responsibilities for the position and is not meant as an exhaustive list. Assignments may differ for individuals within the same role based on business conditions, departmental need or geographic location.

There’s no perfect candidate. You don't need all the preferred qualifications to make a valuable impact on our team. Our employees and customers come from diverse backgrounds, so if you're passionate about what you could achieve at Vonage, we'd love to hear from you.

To learn how we process your personal data during the recruitment process, please refer to our Privacy Notice.

Who We Are:

Vonage is a global cloud communications leader. And your talent will further help brands - such as Airbnb, Viber, WhatsApp, and Snapchat - accelerate their digital transformation through our fully programmable-based unified communications, contact center solutions, and communications APIs. Ready to innovate? Then join us today.

","hiringOrganization":{"@type":"Organization","name":"Vonage","sameAs":"https://www.vonage.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":29,"item":{"@type":"JobPosting","title":"Software Engineer III","datePosted":"2025-09-22","description":"Reflexive Concepts is seeking a skilled Software Engineer III!
\n
\nThe Software Engineer shall be responsible for the development, enhancement, and sustainment of automation tools in support of system management infrastructure software and services for High Performance Computing (HPC) systems in a Linux environment.
\n
\nQualifications: \n

Active TS/SCI + FS Polygraph
Master's degree in Computer Science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity OR
Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity OR
Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.

\nRequired Skills + Experience: \n\n

Experience using the Linux CLI
Experience using Linux tools and developing Bash scripts to automate manual processes
Recent software development experience using Python
Experience with automation frameworks including Ansible for orchestrating deployment
Experience with automated testing frameworks and methodologies such as TDD, BDD
Experience with CI/CD principles, methodologies, and tools such as GitLab CI and Jenkins
Experience with Git Source Control System

\nDesired Skills + Experience: \n\n

Experience with the Atlassian Tool Suite (JIRA, Confluence)
Familiar with Agile, Scrum, or Scaled Agile Framework (SAFe) methodologies

","hiringOrganization":{"@type":"Organization","name":"Reflexive Concepts","sameAs":"https://www.reflexiveconcepts.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Annapolis Junction, MD","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":30,"item":{"@type":"JobPosting","title":"[Payments Financeiro] Software Engineer III .Net","datePosted":"2025-09-22","description":"\n\n

Quem é Stone Tech?

A Stone nasceu com o propósito de ser protagonista na transformação da indústria de pagamentos, lutando para oferecer as melhores soluções para quem empreende no Brasil.

Pensando nisso, construímos a Stone Tech! A junção dos times de tecnologia Stone Co. e as empresas financeiras do grupo que reconhecem o potencial empreendedor de cada brasileiro. Por aqui, temos todas as inovações e tecnologias de ponta da Stone, Pagar.me, Ton e Vitta, com uma galera referência no mercado de tecnologia, em um ambiente descontraído, repleto de desafios, oportunidades, flexibilidade, teamplay e desenvolvimento contínuo.

Nossa Cultura:

Por aqui, vivemos nossa cultura no dia a dia, guiados por esses 5 pilares:

⚡Own It: Ter espírito de dono te faz conquistar a liberdade. Valorizamos a autonomia e a proatividade, somos responsáveis pelo o que entregamos e queremos sempre evoluir o nosso negócio.

🎢Live the Ride: Faça. Feito é melhor que perfeito. Aprendemos com os erros e encaramos desafios como oportunidades de aprendizado.

🎤No Bullshit: Agir com simplicidade. Somos pessoas práticas, sinceras e gostamos de feedbacks. Sabemos que às vezes vamos errar e contamos com essa transparência para evoluirmos.

🤝Team Play: Se quer ir rápido, vá sozinho(a). Se quer ir longe, trabalhe em equipe. É sempre possível aprender com as outras pessoas e a colaboração é a chave do sucesso.

💚The Reason: O cliente não tem razão, ele é a razão. Nos motivamos a enxergar o impacto do nosso trabalho na vida do cliente, é vendo que melhoramos a vida dele que sabemos que fizemos uma boa entrega.

Como é Ser Uma Pessoa Software Engineer Pleno:

Procuramos uma pessoa desenvolvedora apaixonada por desafios, tecnologia e conhecimento.
Essa pessoa, junto ao time, será responsável por atuar com Desenvolvimento .NET.

O Que Esperamos De Você:

Sólidos conhecimentos em C# (Performance, desenvolvimento assíncrono, Threads, GC e afins);
Sólidos conhecimentos desenvolvimento .NET (.NET Core, .Net Framework);
Sólidos conhecimentos em aplicações que utilizem de banco de dados relacional (Postgres, SQL Server);
Conhecimentos em mensageria ( RabbitMQ, Amazon SQS etc);
Ter vivência com práticas de DevOps (CI/CD, github etc);

O Que Aumenta As Suas Chances:

Conhecimento de mercado financeiro;
Vivência de DevOps, Pipelines e afins via Azure;
Amplo conhecimento de API e micro services;
BDD (Specflow);
MassTransit;
OpenTelemetry;
Ferramentas de observabilidade e monitoramento (NewRelic, DataDog, Grafana, Prometheus, Splunk);
Dockerização de apps;
Kubernetes (KEDA entre outros);
Desenvolvimento orientado a Testes (TDD);
Google Cloud ( PubSub, BigQuery, Cloud Functions)

Nossos BenefíCios:

🩺 Plano de Saúde e Odontológico

🏥 Hospital Digital, da Vitta: contamos com uma equipe médica multidisciplinar, terapeutas e um time de saúde disponível 24 horas por dia 7 dias por semana de forma rápida e prática

🥗 Vale Refeição e/ou Vale Alimentação

💻 Auxílio Remoto + Setup Inicial (exclusivo para vagas remotas)

🕗 HoráRio FlexíVel

✏ Benefício Educação - Plataforma interna com acesso a diversos livros, podcasts, treinamentos e vídeo aulas visando o autodesenvolvimento (Studa e Biblioteca StoneCo)

💪 Gympass

👶 AuxíLio Creche

💰 Plr

💚 Seguro de Vida

🚗Vale Transporte (exclusivo para vagas presenciais)

Etapas Do Processo Seletivo:

✍Inscrição: Aqui você começa a sua jornada conosco. Fique tranquilo(a), nosso time analisará as informações do seu perfil e entrará em contato em breve. Boa sorte!

📞Entrevistas com o time de People: Este é o momento de nos conhecermos! Você terá um papo inicial com nosso time de recrutamento, com o objetivo de conhecer nossa cultura, estrutura e o desafio que está sendo proposto.

🎯Avaliação Técnica: Nesta etapa vamos nos aprofundar nas suas hard skills! Geralmente essa avaliação é composta por dois papos ou um papo mais o desafio, com o objetivo de avaliar habilidades e competências técnicas específicas para a vaga. Além de te apresentar possíveis pares e liderança.

✅Check de Cultura: Nossa cultura é muito importante e está sempre presente no dia a dia! Aqui, você terá um papo com uma das nossas pessoas guardiãs da cultura, com o objetivo de nos conhecer e garantir que nossas crenças, nosso jeito de pensar e nossa visão de futuro estão alinhadas com o que você acredita e busca vivenciar.

🏁Feedback: Uma de nossas forças é a franqueza. Por isso, independente do resultado, iremos compartilhá-lo com você e alinhar os próximos passos.

E Aí? Curtiu? EntãO, NãO Deixa De Se Inscrever E #Vemserstone 💚🚀

Aqui na Stone Co., valorizamos e procuramos as melhores pessoas para nos ajudar a melhorar a vida das pessoas empreendedoras do Brasil. Nosso sonho é do tamanho do universo e, se você se identifica com o nosso propósito, venha construí-lo com a gente!

#Li-Remote

\n\n

Além das vagas afirmativas, todas as vagas Stone também são destinadas a pessoas com deficiência.

","hiringOrganization":{"@type":"Organization","name":"Stone","sameAs":"https://www.stone.com.br/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remoto"}}}},{"@type":"ListItem","position":31,"item":{"@type":"JobPosting","title":"AI/ML Technical Enablement Specialist","datePosted":"2025-09-22","description":"Key Responsibilities:\n

Investigate electronic application and systems problems, analyze causal mechanisms, recommend appropriate actions, and own problem resolution with documentation.
Apply and improve electronic application and systems development processes, including system specification, modeling, simulation, calibration, DVP&R, and troubleshooting.
Collaborate with customers, technical and product teams, manufacturing engineers, suppliers, and stakeholders to deliver recommendations leading to quality product decisions.
Make decisions in areas of system design, requirements, calibration, and testing that impact subsystem quality and performance.
Review work of less-experienced developers/testers to ensure robust, reusable, and efficient design.
Provide independent leadership for smaller projects or ownership of complex components, products, systems, or services with higher ambiguity.
Coordinate and direct work amongst technicians and student employees; mentor and transfer knowledge to junior engineers.
Deliver independent execution of established and emerging work processes while continuously developing technology or product knowledge.
Facilitate a 12-week applied data science learning experience for engineers and technical staff.
Coach participants in using tools like Databricks, Amazon Q, Palantir, and ChatGPT for agent-based automation.
Guide learners in both code-based and low/no-code workflows to increase accessibility and impact.
Support learners in using Python-based tools (e.g., Pandas, Scikit-learn) and low-code platforms (e.g., Power BI, Dataiku).
Integrate LLM use cases such as prompt-driven analytics, code generation, and auto-documentation.
Review learner projects and provide personalized feedback to strengthen data science maturity.
Maintain a supportive coaching environment and collaborate to improve curriculum and resources.

Qualifications:

Education, Licenses, Certifications:

Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
This position may require licensing for compliance with export controls or sanctions regulations.

Core Competencies:

Builds networks – Building strong formal and informal relationships inside and outside the organization.
Communicates effectively – Delivering clear and tailored communications to different audiences.
Decision quality – Making good and timely decisions to keep projects moving forward.
Drives results – Achieving results consistently, even under tough circumstances.
Manages complexity – Making sense of complex information to solve problems effectively.
Resourcefulness – Securing and deploying resources efficiently.
Values differences – Recognizing and leveraging diverse perspectives and cultures.

Experience:

Prior Senior or Lead Engineer equivalent work experience in a relevant discipline with a demonstrated track record of technical problem solving and quality decision-making.
2+ years in data science, analytics, engineering, or applied ML roles.
1+ years teaching, mentoring, or delivering bootcamps/training programs.
Experience using LLMs like ChatGPT to enhance analytics or build internal tools.
Familiarity with MS Office tools preferred.

Knowledge, Skills & Competencies:

Technical Competencies:

Teaching & Mentoring technical staff.
Expertise in Data Analysis or Data Science.
Engineering or Technical Datasets; ideally an engineering background with data science skills to coach engineers effectively.
Familiarity with platforms like Databricks, Palantir, Jupyter.
Design and Application of Mechatronics Systems.
Machine Integration and Optimization.
Product Function Modeling, Simulation, and Analysis.
Product Problem Solving.
Product Verification and Validation Management.
System Requirements Engineering.
Systems Thinking.
Design and Application of Open/Closed Loop Controls.

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Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures/algorithms.
1 year of experience in a technical leadership role.
Experience developing accessible technologies.

About The Job

AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.

The US base salary range for this full-time position is $166,000-$244,000 + 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 $166,000-$244,000 + 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

Write and test product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Design and implement GenAI solutions, leverage ML infrastructure, and evaluate tradeoffs between different techniques and their application domains.

","hiringOrganization":{"@type":"Organization","name":"Google","sameAs":"https://www.google.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sunnyvale, CA, USA","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":33,"item":{"@type":"JobPosting","title":"Software Engineer, Infrastructure AI/ML","datePosted":"2025-09-22","description":"

Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience in software development in one or more programming languages.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Experience in designing, building, and maintaining distributed systems or back-end infrastructure.

Preferred Qualifications:

Experience with Machine Learning concepts, tools, and frameworks (e.g., TensorFlow, TFLite).
Experience with ML infrastructure, such as model serving platforms, data pipelines, or ML operations.
Experience contributing to codebases like Chromium.
Experience in ML performance, large-scale systems data analysis, ML debugging, LLMs, or specialized areas within ML.
Experience leading the design and execution of significant technical projects.
Knowledge of on-device ML deployment and optimization techniques.

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.

Chrome browser's strategy is to become more smarter, personalized, and proactive. That is where our team comes in. The Chrome Intelligence Infrastructure team’s goal is to build both GenerativeAI and non-GenerativeAI Machine Learning infrastructure and capabilities to accomplish Chrome’s strategy. We build and support the infrastructure and services that enable Chrome feature teams to quickly incorporate intelligence into their solutions, impacting billions of users. This includes on-device ML model delivery and inference, server-side metadata and GenAI services, and data pipelines. We are working on the latest technologies to deliver agentic solutions to users.Chrome is dedicated to building a better, more open web. We’re focused on making a better browser (on both desktop and mobile) to help users take advantage of all the web has to offer in a safe and secure way.Chrome is available across all major platforms — iOS, Android, Windows, Mac, Linux and Chrome OS. We also built Chrome as an open source project so the entire web ecosystem could benefit from the latest innovations in speed, simplicity and security.
The US base salary range for this full-time position is $166,000-$244,000 + 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 $166,000-$244,000 + 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

Design, build, maintain, and optimize scalable and reliable ML infrastructure for on-device and server-side Chrome features, including systems for model management, serving, execution, performance, and monitoring across Google3 (e.g., Go, C++, Java) and Chromium (C++).
Collaborate with Chrome feature teams to understand requirements, provide guidance, and integrate ML solutions into the Chrome browser.
Lead the technical design and implementation of complex, multi-quarter projects, making well-reasoned technical decisions to address ambiguous problems.
Mentor other engineers on the team, fostering their technical growth.
Contribute to code health, system maintainability, and documentation.

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Minimum Qualifications:

Bachelor’s degree or equivalent practical experience.
2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred Qualifications:

Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures or algorithms.
Experience developing accessible technologies.

About The Job

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

Write product or system development code.
Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

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Company Description

NielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. Our diversity brings out the best in each other so we can leave a lasting legacy on the work that we do and the people that we do it with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects.

Job Description

NielsenIQ’s Innovation Team is expanding its AI capabilities and is hiring an AI/ML Research Scientist for our Core Models team in Pune, India. This multidisciplinary team of researchers works across cutting-edge areas of AI including Generative AI (GenAI), Large Language Models (LLMs)—with a particular focus on GPT-based architectures—as well as recommender systems and extreme classifiers.

As part of this team, you’ll stay at the forefront of AI research, especially in Natural Language Processing (NLP). You’ll implement state-of-the-art algorithms to solve real-world, large-scale challenges and contribute novel ideas to advance our capabilities.

Key Focus:
\nWe are specifically looking for candidates with hands-on experience fine-tuning open-source LLMs or training them from scratch using custom datasets, ideally auto-regressive language models. Your work will directly contribute to the development of robust, safe, and aligned AI models tailored to NielsenIQ’s business needs.

Responsibilities:

Design and develop scalable, reproducible, and maintainable data pipelines for ML solutions
Fine-tune or train LLMs (especially GPT-based models) from scratch using custom datasets
Design innovative algorithms to adapt large language models for domain-specific applications at NIQ.
Conduct feasibility studies and data analysis to identify optimal solutions
Drive innovation in custom LLM and GenAI development
Communicate findings effectively to both technical and non-technical stakeholders
Collaborate within a high-performing team, fostering motivation and strong team dynamics
Contribute to scientific output including patents and publications

Qualifications

Required Education, Skills And Experience:

Master's degree in computer science or an equivalent numerate discipline.
At least <3/5> years’ experience with evidence in a related field.
Strong background in computer science, linear algebra, probability.
Solid experience in Machine Learning and Deep Learning (special focus on Transformers).
Proven experience in Natural Language Processing and Large Language Models.
Proven experience building scalable data pipelines and ETLs.
Able to understand scientific papers and develop ideas into executable code.
Proven track record of innovation in creating novel algorithms and publishing the results in AI conferences/journals.
Languages and technologies: Python, SQL, PySpark, Databricks, Pandas/Polars, PyArrow, PyTorch, Huggingface, git.
Proactive attitude, constructive, intellectual curiosity, and persistence to find answers to questions.
A proficient level of interpersonal and communication skills (English level B2 minimum).
Keen to work as part of a diverse team of international colleagues and in a global inclusive culture.

Additional Information:

Preferred Education, Skills And Experience:

PhD in science (NLP/Data Science is preferred) and specialized courses in one of the above-mentioned fields.
Experience working with large real-world datasets and scalable ML solutions.
Previous experience in e-commerce, retail and/or FMCG/Consumer Insight business.
Agile methodologies development (SCRUM or Scale Agile).

Additional Information

Our Benefits

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About Niq

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com
Want to keep up with our latest updates?
Follow us on: LinkedIn | Instagram | Twitter | Facebook
Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

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As an AI ML Engineer in the SRE and Observability team at GoTo, you will build intelligent systems that detect anomalies, reduce incidents, and accelerate root cause analysis. Your work will directly improve reliability across platforms, helping teams resolve issues faster and keep services running smoothly. You will apply ML techniques to correlate metrics, logs, and traces, and design automation that prevents recurring issues. By embedding AI into daily operations, you will enable self learning systems and empower engineers to focus on higher impact problems. If you are excited about applying AI to real world reliability challenges, this role is for you.\n

What Will You Do

AI Driven Incident Detection – Build and deploy ML models to identify anomalies across metrics, logs, and traces before they cause incidents.
Root Cause Analysis Automation – Correlate observability signals and analyze historical incidents to accelerate RCA and provide resolution recommendations.
Agentic AI Solutions – Develop AI agents that autonomously troubleshoot, recommend actions, and improve incident response.
Integration with Operations Tools – Connect AI insights with ticketing, alerting, and incident management platforms for seamless workflows.
Collaboration and Enablement – Partner with SRE, Monitoring, and Security teams to embed AI driven practices into daily operations.

What Will You Need

2-4 years experience in machine learning, deep learning, and data analysis, with focus on anomaly detection and NLP.
At least 2 years experience in Site Reliability Engineering, DevOps, or cloud infrastructure roles.
Tools: n8n, Langgraph/crewAI, Langchain etc.
Proficiency in scripting or programming (e.g., Python, Go, or Bash) for automation and tooling.
Understanding of observability tools like Prometheus, Grafana, ELK, or similar logging/monitoring stacks.
Strong problem-solving skills with a focus on performance tuning, reliability, and incident response.
Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams.

About The Team:
You'll be part of SRE and Observability team which ensures the reliability, performance, and scalability of GoTo’s critical platforms. We build and operate systems that collect, analyze, and act on observability signals across metrics, logs, traces, and profiles. By bringing AI and automation into this space, we are solving the challenge of reducing noise, detecting incidents faster, and accelerating root cause analysis. Joining this team means working at the intersection of AI, reliability, and large scale systems, where your contributions directly impact millions of users and the engineers who keep our platforms running.
About GoTo GroupGoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo FinancialGoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial (\"GoTo\") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.

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Overview:

Guidepoint’s Engineering team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal CRM system and create new products to optimize the seamless delivery of our services.

As a Software Engineer, you will work with a team of engineers through challenging development projects. Join a highly collaborative team of skilled engineers passionate about quality.

Team Function:

Our Client & Advisors portals team is responsible for the modernization and revamps of existing products, requiring them to be rewritten from scratch and follow best software practices. From the product perspective, this is part of the big picture where we are making technical changes, product enhancements, and adding backlog features.

What You Will Do:

Refactor and modernize large, monolithic legacy codebases, introducing clean architecture and design patterns in newer repositories.
Architect highly scalable and transaction-heavy web/API applications, focusing on building new backend services in PHP or Python leveraging modern frameworks.
Work with large, complex database schemas of 500+ tables, writing/refactoring optimized T-SQL or Doctrine ORM queries.
Design and implement data access layers, caching strategies (Redis), and indexing solutions to improve performance and scalability.
Collaborate with Product Managers to translate complex business rules and workflows from User Stories into bespoke CRM-style applications.
Design and develop RESTful APIs using Symfony, API frameworks, and best-practice design patterns; define JSON payloads and various payload contexts.
Integrate 3rd party platforms via APIs and call-backs, ensuring robust error handling and resiliency.
Collaborate closely with front-end teams (React, Socket.io, NodeJS) on full-stack solutions.
Partner with QA and Application Support to triage and resolve bugs efficiently.
Work with DevOps to automate deployments, monitoring, and scaling solutions with Datadog and container-based environments.

What You Have:

7-12 years of expert hands-on experience in PHP 8+ with OOP concepts, advanced design patterns and a strong focus on refactoring complex, legacy systems into maintainable, scalable services.
Proven experience in building new services and APIs in PHP or Python, following best practices for clean architecture and modular design.
Deep expertise in RDBMS (MS SQL Server preferred, MySQL, Postgres also relevant), with a track record of optimizing queries, handling large schemas, and designing efficient data models.
Experience in solving scaling problems with caching (Redis), message brokers (RabbitMQ), and search (Elastic Search), etc.
Prefer experience designing fault-tolerant architecture on cloud deployments (load balancing, clustering, reducing/eliminating single points of failure, etc.).
Understanding of branching, merging, pull requests, and conflict resolution in Git (Bitbucket or GitHub).
Proficiency in working with CLI on Linux Servers with commands like awk, grep, and other important networking tools – netstat, iptables, nslookup, curl, wget, etc.
Experience working with cloud technologies (Azure, AWS, GCP) with services like IAM, S3, EC2, VMs, SQS, Elastic Beanstalk, etc.
Familiarity with Docker, Kubernetes, and other important DevOps tools like Jenkins, Travis, or Circle CI, SonarQube, Snyk, Ansible, Maven, Gradle.

Preferred To Have:

Experience in Microsoft Azure Cloud Technologies.
Experience crafting architecture diagrams in draw.io or Lucid Chart.
Experience in building CI/CD pipelines from scratch or improving them.
Regularly updated with technological advancements and excited to explore them.

What We Offer:

Competitive compensation (with significant potential growth factor further)
Employee medical coverage (that also covers your parents or in-laws)
The best office location at the heart of Vimann Nagar (adjacent to Phoenix Market City Mall)
Entrepreneurial environment, autonomy, and fast decisions
Casual work environment (no dress code, play area inside, an office pantry full of coffee, snacks and fruits, quarterly office parties)

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.  

#Li-Nj1

#Li-Hybrid

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Who You Are:

Senior Software Engineers play a key role in the design, development/configuration, unit testing, installation, and ongoing maintenance of Zinnia software platforms. Zinnia Senior Software Engineers work with stakeholders to develop solutions and/or products that fulfil the needs of ZINNIA internal stakeholders and clients. Those solutions and/or products help Zinnia and Zinnia clients to be more efficient and provide better service to end customers. Senior Software Engineers interact directly with Technical leaders, business stakeholders, and may periodically interact directly with Zinnia clients

What You’Ll Do:

• Work as part of a global, cross-functional team to develop innovative software for ZINNIA stakeholders.
• Contribute to projects by creating well-designed, customized, testable, efficient code for ZINNIA platforms.
• Assist our teams in providing ongoing support, troubleshooting, improvements, or custom enhancements to existing ZINNIA platforms.
• Flexibility to support the challenging development and delivery needs of ZINNIA
• Collaborate with our global teams, internal stakeholders, and customers.
• Act as a mentor and technology expert for team members and conduct technical reviews.
• Architect, Design, develop and validate various requirements for the ZINNIA platforms
• Ability to work in a fast-paced environment, recognize and react to changing business needs and effectively prioritize tasks
• Must be self-motivated and able to work both independently and in conjunction with team members and business units. Enthusiasm and flexibility to work on a variety of projects.

What You’Ll Need:

Bachelors in computer engineering/sciences
5-10 years of experience in Backend technologies like Java, J2EE, Spring, DAO, Apache Service Mix, ANT, JBoss, Apache Camel, Git, Maven, Agile / Scrum.
Should have exposure to front end stacks like - JSP (JavaServer Pages), JavaScript, React.js, Angular, HTML, CSS
Patience and perseverance to overcome challenges, solve problems, and learn new computer languages and techniques.
Architecting, designing, developing, and delivering tasks completed using JEE technologies.
Issue management, deployment and delivery support; Understanding of DevOps support model. Team coordination, analytical skill, self-learning, Communication, Technical documentation, system analysis
Excellent work ethic. Ability to work and travel independently.
Effective communication, interpersonal, and critical thinking skills. Effective troubleshooting skills.
Ability to work as part of a cross-functional, global team.

Bonus Points

• Object Oriented Programming (OOPS) and design patterns
• Programming using Java 8/J2EE
• Competence and comfort using multiple frameworks Spring, Spring Boot
• SOA/Microservice Architecture
• Knowledge and experience with REST
• Git, Maven, Docker

What’S In It For You?

We’re looking for the best and brightest innovators in the industry to join our team. At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.

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Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

Role Overview

We are seeking a Machine Learning Engineer to join a high-impact team within Experian Consumer Services (ECS), focused on building scalable, reusable AI capabilities that power personalized financial experiences for millions of users. This role is ideal for someone who thrives at the intersection of machine learning, software engineering, and product thinking.

You will work closely with product managers, data scientists, platform engineers, and UX teams to understand consumer needs, define ML-driven solutions, and deliver production-grade AI services such as LLM-as-a-Service, enterprise knowledge orchestration, predictive intelligence APIs, and personalized decisioning engines.

Success in this role requires not only strong technical skills but also the ability to evaluate trade-offs, select the right models and tools, and align ML solutions with business goals. You’ll be expected to own the full ML lifecycle—from problem framing and experimentation to deployment, monitoring, and continuous improvement.

Key Responsibilities 1. Business-Aligned ML Engineering

Collaborate with product and analytics teams to identify high-impact personalization and automation opportunities.
Translate business problems into ML use cases, selecting appropriate modeling techniques (e.g., classification, ranking, recommendation, summarization).
Evaluate trade-offs between accuracy, interpretability, latency, and scalability to guide model and architecture choices.

2. Model Development & Optimization
3. LLM Integration & Extension
4. Productionization & Deployment
5. Performance Monitoring & Governance
6. MLOps & Automation
7. Core ML Algorithms & Techniques

Design and implement ML models using Python and frameworks like scikit-learn, XGBoost, TensorFlow, and PyTorch.
Apply advanced techniques such as feature selection, regularization, hyperparameter tuning (Grid Search, Bayesian Optimization), and ensemble learning.
Leverage transfer learning, fine-tuning, and prompt engineering to extend the capabilities of pre-trained LLMs.
Build and operationalize LLM-based services using Amazon Bedrock, LangChain, and vector databases (e.g., FAISS, Pinecone).
Develop use cases such as intelligent summarization, contextual recommendations, and conversational personalization using retrieval-augmented generation (RAG) pipelines.
Package and deploy models using Amazon SageMaker, SageMaker Inference Pipelines, AWS Lambda, and Kubernetes.
Build containerized ML services and expose them via secure, versioned RESTful APIs using FastAPI or Flask.
Integrate models into real-time and batch workflows, ensuring reliability and scalability.
Implement robust evaluation pipelines using metrics like AUC-ROC, F1-score, Precision/Recall, Lift, and RMSE, aligned with product KPIs.
Monitor model drift, data quality, and prediction stability using tools like Evidently AI, SageMaker Model Monitor, and custom telemetry.
Ensure model explainability, auditability, and compliance using MLflow, SageMaker Model Registry, SHAP, and LIME.
Automate end-to-end ML workflows using SageMaker Pipelines, Step Functions, and CI/CD tools like GitHub Actions, CodePipeline, and Terraform.
Collaborate with platform engineers to ensure reproducibility, scalability, and adherence to security and privacy standards.
Supervised Learning: Logistic Regression, Decision Trees, Random Forests, Gradient Boosting (XGBoost, LightGBM)
Unsupervised Learning: K-Means, DBSCAN, PCA, t-SNE
Deep Learning: CNNs, RNNs, Transformers (BERT, GPT), Autoencoders
Recommendation Systems: Matrix Factorization, Neural Collaborative Filtering, Hybrid Models
NLP: Text Classification, Named Entity Recognition, Embeddings, RAG
Time Series Forecasting: ARIMA, Prophet, LSTM
Evaluation & Tuning: Cross-validation, Hyperparameter Optimization, A/B Testing

Qualifications

Generative AI
Applied Machine Learning & Deep Learning
Software Engineering Best Practices (SOLID, Design Patterns, CI/CD)
Advanced Python Development
Cloud-Native ML Engineering (AWS SageMaker, Bedrock, etc.)
MLOps & Model Lifecycle Management

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

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AI Developer – Microsoft Workflow & AI Integration

Position Overview

We are seeking a hands-on AI Automation Developer with deep experience in the Microsoft Tech Stack and a strong understanding of AI applications. This role will focus on designing scalable, repeatable automation patterns that integrate AI agents (e.g., Copilot) with Microsoft workflows such as Power Automate, enabling intelligent batch processing of documents and data. The developer will collaborate closely with HACH leadership from ideation through production deployment. The developer will work cross-functional collaboration with data scientists, business analysts, and IT teams.

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Key Responsibilities

Ai-Driven Automation Development

Architect and implement Microsoft workflows that ingest, reason over, and act on large volumes of structured and unstructured data.
Design and prompt-engineer Copilot agents to generate summaries, reports, and formatted outputs based on HACH specifications.
Build seamless pipelines between Power Automate, Copilot Studio, and mission-critical systems.
Develop reusable automation patterns for document processing, classification, and enrichment using AI.
The emphasis will be designing solutions that scale across departments or business units.

DevOps & Lifecycle Management

Create promotion pipelines with version control, automated testing, and rollback strategies.
Define branching and release strategies aligned with HACH’s SDLC.
Ensure robust unit testing and maintain documentation in accordance with HACH standards.

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Must-Have Qualifications

3–4+ years of experience in automation development using Microsoft technologies.
1+ year of hands-on experience with Copilot Studio, including building and deploying agents in production.
Proven track record of end-to-end delivery of Microsoft automation solutions.
Strong understanding of Generative AI / LLMs and their integration into enterprise workflows.
Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.

","hiringOrganization":{"@type":"Organization","name":"Zensar","sameAs":"https://www.zensar.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":41,"item":{"@type":"JobPosting","title":"Senior AI / ML Engineer","datePosted":"2025-09-22","description":"

Awetomaton is seeking a Senior AI / ML Engineer to support existing customers at Wright-Patterson Air Force Base in Dayton, Ohio. In this role you will use your OPIR domain expertise to identify salient features for development of new AI/ML models. You will use Python and appropriate AI/ML libraries (PyTorch, TensorFlow, etc.) to develop and mature R&D exploitation capabilities. The ideal candidate will possess a MS degree or higher in AI / ML field with 10-15 years of experience. This position will largely be performed from WPAFB. Active Top Secret security clearance required.

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Criteria For Success

\n\n

Communicate effectively in both written and verbal form with peers & decision makers
Demonstrate initiative when faced with limited guidance or ambiguous requirements
AI/ML expertise in Python
Expertise in OPIR image processing and data exploitation

\n\n

Required Experience and Skills

\n\n

Master of Science in AI/ML scientific discipline
Ten (10) years of minimum experience developing AI/ML algorithms for object identification / classification
Ten (10) years of experience creating AI/ML solutions in Python (e.g. PyTorch, Tensor Flow)
Five (5) years of minimum experience in OPIR among of a mix of processing, exploitation, and analysis algorithm development
Five (5) years of minimum experience with Container Technology (Docker / podman / etc.)
Mastery of software configuration management using Git.

\n\n

Desired Education and Experience

\n\n

Doctor of Philosophy in AI/ML scientific discipline
Eight (8) years of experience in OPIR among of a mix of processing, exploitation, and analysis algorithm development
Five (5) years of PyTorch expertise
Expertise developing modular, reusable software via strong Object-Oriented Software development practices
Experience following GitFlow and GitOps workflows using team repository (GitHub / Gitlab / etc.)

\n\n

About Awetomaton

We build software that enables humans to make informed decisions from raw intel data, with a specialization in satellite collection. We are a Dayton-based defense startup that believes there is a critical skill & culture gap - one we are filling with high-output, mission focused engineering talent. Results matter to our customers. We've never lost a customer because we deliver what they need. Awetomaton is where you do work that matters with a passionate team in an environment that inspires your creativity.

Benefits

We provide industry leading benefits that balance your health & wellbeing today, as well as lay a solid financial future into retirement. Highlights of our benefit plan include:

Flexible time off totaling 36 days / year. No approvals required.
100% 401k company match up to IRS annual limits. This is a benefit of up to $23,500 for 2025.
Health plan through Blue Cross Blue Shield with Health Savings Account (HSA). We pay 95% of employee premiums including family plans.
Employee favorite: Tech and Wellness reimbursement of $3000 / year. Treat yourself with the newest gadgets or athletic gear. No approvals required.
Annual profit sharing as 401k contribution. No set percent and dependent on annual company performance. Benefit is above and beyond 401k match.
Windows or MacBook laptop and well-equipped office spaces for optimal productivity in office and on-the-go.

\n","hiringOrganization":{"@type":"Organization","name":"Awetomaton","sameAs":"https://www.awetomaton.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Beavercreek, OH","addressCountry":"United States","addressRegion":"North America"}}}},{"@type":"ListItem","position":42,"item":{"@type":"JobPosting","title":"AI/ML Engineer (AU)","datePosted":"2025-09-22","description":"

Work with cutting edge technology, making the world a safer and more secure place. DroneShield (ASX:DRO) offers an opportunity to solve some of world’s most challenging technical problems in the Electronic Warfare, Artificial Intelligence and Machine Learning, RF sensing, Sensor Fusion and distributed systems. Working with high profile customers across militaries, government agencies, airports, critical infrastructure, law enforcement and many others.

With one of the largest listed defence company market capitalisations in Australia and having raised approximately $250m in 2024 alone, DroneShield is undergoing hypergrowth stage, fuelled by rapidly increasing use of drones for nefarious applications, from battlefield, to terrorism, to contraband delivery and commercial espionage.

This role is in the DroneShield Sydney headquarters in Sydney CBD. There are approximately 380 staff based in the 4,000sqm facility today, scheduled to grow to approximately 500 staff by end of 2026. Overseas on the ground presence includes USA, Denmark, Mexico, and UAE, as well as distributors in over 70 countries globally.

About The Role

Join a cutting-edge team at DroneShield, where you'll help develop advanced machine learning solutions that address real-world challenges. Your focus will be on applying state-of-the-art computer vision techniques to enhance our products, working alongside experts in signal intelligence and software engineering. In this fast-paced, multidisciplinary environment, we value innovation, technical excellence, and the ability to perform under pressure. You'll play a key role in maintaining and refining existing deep learning models, optimising performance, and delivering impactful solutions on tight timelines — all while solving challenging problems that make a real difference in high-stakes scenarios.

Responsibilities, Duties and Expectations

Maintain, refine, and extend existing deep learning models and inference pipelines.
Evaluate and benchmark model performance on curated datasets and real-world test cases.
Validate model predictions in operational or field environments and ensure deployment readiness.
Monitor model performance in production, identify issues, and contribute to continuous improvement.
Analyze datasets to identify gaps, inconsistencies, or opportunities for enrichment.
Collaborate with the Signal Intelligence Operations team to support data collection and annotation.
Work closely with software engineers to integrate and optimise ML models within production systems.
Write clean, maintainable, and well-documented code to support model development and deployment.

Qualifications, Experience and Skills

Bachelor’s degree in Computer Science, Data Science, or a related technical field (or equivalent practical experience).
2+ years of hands-on experience in machine learning, specifically in computer vision applications.
Solid experience in developing and training deep learning models using PyTorch.
Demonstrated ability to tune hyperparameters (e.g., learning rate, confidence thresholds) and evaluate model performance using standard metrics.
Skilled in analysing, labelling, and preprocessing real-world datasets for model training and evaluation.
Proficient in exploratory data analysis using Pandas, and data visualisation using Matplotlib or Plotly.
Familiar with state-of-the-art deep learning architectures in computer vision (e.g., U-Net, ResNet, YOLO).
Strong Python programming skills, with knowledge of modern libraries and software engineering best practices.
Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
Academic research experience in deep learning and computer vision is desirable.
Experience with radio frequency datasets is a plus.

Who You Are

You are comfortable pushing the boundaries of ML model performance in production environments.
You enjoy the ML workflow end-to-end, from data collection to production monitoring.
You are a lifelong learner. You’re self-taught and continuously learning. You are interested in keeping up with current best practices in your areas of expertise.
You are experienced working with modern infrastructure and tools.
You are comfortable running your software in Linux environments.
You have an abundance of ambition and motivation to grow the company and compete with the big players in the industry.
You can work both autonomously and thoughtfully as a team.

Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.

","hiringOrganization":{"@type":"Organization","name":"DroneShield","sameAs":"https://www.droneshield.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":43,"item":{"@type":"JobPosting","title":"Software Engineer III","datePosted":"2025-09-22","description":"At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency.
By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.
Role Overview
If you love to design scalable fault-tolerant systems that can run efficiently with high performance andare eager to learn new technologies and develop new skills, then we have a great opportunity for you:join our PDI family and work closely with other talented PDI engineers to deliver solutions that delightour customers every day!You will play a key role in designing and building our market leading software products as we driveto continuously increase our cloud maturity and mobility. You will be working as a key part of an agileteam to design, build, test, and support PDI's enterprise software solutions. You will review, recommend& implement system enhancements that will improve the quality, performance, and maintainability ofour products. You will be responsible for contributing to an always improving Engineering environmentby ensuring all stakeholders (engineers, architects, product owners, SREs, IT Ops…) are informed ofstatus and supported in their roles.With the variety of environments, platforms, technologies & languages, you must be comfortable workingin both Windows & Linux environments, including PowerShell scripting & bash, database administrationas well as bare metal virtualization technologies and public cloud environments (GCP, AWS, Azure).
\n

Key Responsibilities

As a Software Engineer II, you will be responsible for the development and maintenance of custom software targeted at ensuring defect-free production Petro-solutions are released to our customers.
Participate in design decisions for new and existing application development, proactively escalating issues and seeking assistance to overcome obstacles
Actively develop software solutions for PDI products
Perform testing to ensure systems meet documented user requirements
Use a disciplined approach in an Agile environment to assist in analysis and determination of preferred solutions to technical challenges
Troubleshoot, test, and validate software issues; resolve issues with due urgency and maintain thorough documentation of all software solutions
Perform engineering level tests to find defects; troubleshoot and debug development and production issues, collaborating with QA Engineers to develop optimal product test plans
Work with Product Owner to clarify and estimate feature work
Work with QA Engineers to develop optimal product test plans and resolve new feature issues as QA finds bugs during release stabilization
Contribute towards overall improvement of our products and codebase
Work with product teams to define requirements for systems development and enhancement
Guide and train the junior engineers in the team
Solves complex problems; takes a new perspective using existing solutions

Qualifications

4-7 years of experience in designing and developing new or maintaining existing software applications in a software product development environment
Minimum proficiency required in one or more of the following: Delphi, SQL, JavaScript Frameworks (Knockout, Angular, etc.)
Experienced with modern UI frameworks and concepts
Experienced with front end or mobile development
Familiarity with the Eclipse / VS IDE and the use of ADO
Practical experience with SDLC and Agile methodologies
Highly motivated self-starter
Requires strong written and verbal communication skills with the ability to translate technical concepts into non-technical terms
Ability to independently work as a contributing member in a high-paced and focused team
Computer science fundamentals: OOP, design patterns, data structures & algorithms.

Preferred Qualifications

Exposure in Payment, Retail, Forecourt and C-store, EMV, Wholesale or Logistics domain experience.

Behavioral Competencies

Ensures Accountability
Manages Complexity
Communicates Effectively
Balances Stakeholders
Collaborates Effectively

PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.","hiringOrganization":{"@type":"Organization","name":"PDI Technologies","sameAs":"https://pditechnologies.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bangalore","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":44,"item":{"@type":"JobPosting","title":"Software Engineer III (FE)","datePosted":"2025-09-22","description":"

Responsibilities
● Frontend Development: Develop and maintain React-based web applications using
our established design system. Implement new features and enhancements based
on designs and requirements.
● Performance Optimization: Implement efficient and scalable solutions, prioritizing
performance and site speed. Proactively identify and resolve performance
bottlenecks.
●   API Integration: Integrate with REST APIs using AJAX and other relevant
technologies. Handle asynchronous operations and manage data efficiently.
● Code Quality: Write clean, well-documented, and testable code that adheres to our
coding standards and best practices. Conduct thorough code reviews and provide
constructive feedback to peers.
● Collaboration: Collaborate effectively with designers, backend engineers, and
product managers to understand requirements, provide technical input, and ensure
a seamless integration of frontend and backend components.
●   Design System Contribution: Contribute to the continuous improvement of our
design system by identifying areas for improvement, proposing solutions, and
implementing enhancements.
● Testing & Automation: Implement automated testing strategies using frameworks
such as Jest and React Testing Library to ensure code quality and prevent
regressions.
●   Deployment & Infrastructure: Utilize and manage deployments on AWS (or similar
cloud infrastructure). Understand CI/CD pipelines and contribute to their
improvement.

Qualifications
● Bachelor's degree in Computer Science or a related field, or equivalent experience.
● 3-5 years of professional experience in frontend development with React.
● Strong understanding of JavaScript, HTML, CSS, and responsive design principles.
Experience with modern JavaScript frameworks and libraries is highly beneficial (e.g.,
Redux, Zustand, Context API).
● Experience with RESTful APIs and AJAX.
● Proven experience working with design systems. Understanding of design system
principles and best practices is essential.
● Experience with testing frameworks (e.g., Jest, React Testing Library, Cypress).
● Proficiency in version control (Git).
● Experience with cloud platforms (AWS preferred). Familiarity with CI/CD pipelines is
a significant advantage.
● Excellent communication, collaboration, and problem-solving skills.

\n\n\n Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.","hiringOrganization":{"@type":"Organization","name":"Fanatics","sameAs":"https://www.fanaticsinc.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India","addressCountry":"India","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":45,"item":{"@type":"JobPosting","title":"Senior AI/ML Engineer (AU)","datePosted":"2025-09-22","description":"

About The Role

In this role, you will drive the design and deployment of state-of-the-art deep learning algorithms, with a strong focus on real-world applications in RF and multi-modal domains.

You’ll lead end-to-end machine learning initiatives - from research and experimentation to scalable production deployment - shaping the future of how AI is applied in defence and security. This position offers the rare opportunity to work on high-impact problems where cutting-edge ML research directly translates into operational advantage for customers worldwide.

Responsibilities, Duties and Expectations

Design and develop production-grade DL algorithms based on state-of-the-art research for diverse RF-based applications.
Lead the end-to-end ML experimentation cycle, including workflow design, algorithm implementation, evaluation, and result analysis.
Define long-term (monthly) research objectives and deliver on short-term (weekly) milestones.
Write production-quality code following software engineering best practices (e.g., test, version control, modularity).
Optimize model training (e.g., distributed clusters), post-training (e.g., quantization, ONNX), and inference on modern AI hardware (e.g., GPUs, TPUs, NPUs, FPGAs).
Mentor junior team members and foster a collaborative, high-performance culture.
Collaborate with engineering teams to integrate and deploy models into production systems.
Ensure high standards in code quality, reproducibility, and documentation.

Qualifications, Experience and Skills

PhD in Computer Science or related field, or equivalent practical experience.
Strong foundation in machine learning (ML), deep learning (DL), statistics, and optimization.
4+ years of experience across the full machine learning lifecycle – from data preparation and model development to deployment and monitoring.
Expertise in three or more areas such as object detection, uncertainty estimation, out-of-distribution handling, self-supervised learning, few-shot learning, reinforcement learning, and explainable AI.
First-author publications in top-tier AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML).
Proficient in PyTorch, Python, software engineering practices, and modern ML/data science libraries (e.g., NumPy and Pandas).
Experience working with large-scale (terabytes), high-dimensional, and heterogeneous data.
Experience deploying models to resource-constrained environments (e.g., edge devices, embedded systems).
Strong communication skills, with the ability to explain technical concepts to non-experts and collaborate across multidisciplinary teams.
Experience with PyTorch Lightning is a plus.
Familiarity with radio frequency (RF) datasets is a bonus.

Who You Are

You thrive on pushing the limits of ML model performance in real-world production environments.
You’re motivated by deploying complex models that make real impact.
You enjoy the full ML lifecycle - from data collection to production monitoring.
You’re a self-driven, lifelong learner who stays current with best practices in your domain.
You have experience with modern ML infrastructure and tools.
You’re comfortable running software in Linux-based environments.
You're ambitious and motivated to help grow the company and compete at the highest level.
You work well independently and as part of a collaborative team.

Note for recruitment agencies: We do not accept unsolicited candidates from external recruiters unless specifically instructed.

","hiringOrganization":{"@type":"Organization","name":"DroneShield","sameAs":"https://www.droneshield.com/"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sydney, Australia","addressCountry":"Australia","addressRegion":"Asia/Pacific"}}}},{"@type":"ListItem","position":46,"item":{"@type":"JobPosting","title":"AI / ML Engineer","datePosted":"2025-09-22","description":"Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: \nAs an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows.\n \nRoles & Responsibilities: \n- Expected to be an SME.\n- Collaborate and manage the team to perform.\n- Responsible for team decisions.\n- Engage with multiple teams and contribute on key decisions.\n- Provide solutions to problems for their immediate team and across multiple teams.\n- Facilitate knowledge sharing and training sessions to enhance team capabilities.\n- Monitor and evaluate the performance of AI models to ensure optimal functionality.\n \nProfessional & Technical Skills: \n- Must To Have Skills: Proficiency in Large Language Models.\n- Strong understanding of cloud-based AI services and deployment strategies.\n- Experience with deep learning frameworks such as TensorFlow or PyTorch.\n- Familiarity with data preprocessing and feature engineering techniques.\n- Ability to design and implement scalable AI solutions.\n \nAdditional Information: \n- The candidate should have minimum 5 years of experience in Large Language Models.\n- This position is based at our Bengaluru office.\n- A 15 years full time education is required.15 years full time education

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

Visit us at www.accenture.com

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