Machine Learning Associate Advisor - HIH - Evernorth

Machine Learning Associate Advisor

About Evernorth:

• Evernorth℠ exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable and simple health care,
• we solve the problems others don’t, won’t or can’t. 

Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.

We are always looking upward. And that starts with finding the right talent to help us get there.

Position Overview

The Pharmacy Benefit Services+ Technology organization is seeking a Machine Learning Associate Advisor to join our team. This Band 3 Contributor role is a key part of the group, driving innovation and operational excellence across the enterprise.

In this role, you will lead the development of intelligent, automated systems that streamline the Software Development Lifecycle (SDLC) by enabling scalable, low-maintenance solutions and accelerating solution adoption. A primary deliverable includes a self-service onboarding kit that empowers users—regardless of technical expertise—to begin using the solution within minutes, with zero coding and no ongoing maintenance required.

You will operate within a high-performance, high-frequency enterprise technology environment, collaborating closely with IT leadership and cross-functional teams to design reusable, adaptable solutions. Your focus will be on reducing redundancy, promoting reusability, and upholding high standards of engineering excellence.

Your solutions will be designed for broad adoption across multiple stakeholder groups, including developers, end-to-end testers, business analysts, and operations teams. By enabling shared tooling and consistent automation frameworks, you will foster greater collaboration, reduce the creation of duplicate or siloed products, and improve the overall quality and consistency of enterprise systems.

Responsibilities

• Lead the design and implementation of intelligent automation solutions that streamline the Software Development Lifecycle (SDLC), from development through testing and deployment.
• Provide comprehensive consultation to business units, IT management, and technical teams on all aspects of application development, testing, and automation across diverse environments.
• Develop self-service onboarding kits and reusable frameworks that enable rapid adoption by users with varying technical backgrounds, requiring no additional coding or maintenance.
• Offer architectural leadership and AI/ML guidance, ensuring alignment with enterprise technology strategy and long-term scalability.
• Conduct in-depth research to identify and recommend efficient, cost-effective, and scalable AI/ML automation solutions across the SDLC—including test data generation, code/test case/script generation, root cause analysis, and predictive analytics.
• Collaborate with cross-functional stakeholders—developers, testers, business analysts, and operations teams—to ensure solutions are adaptable, reusable, and reduce duplication across the enterprise.
• Enhance quality assurance through intelligent validation, monitoring, and automation strategies that support both functional and non-functional testing.
• Increase developer productivity by automating repetitive tasks and integrating intelligent tooling into development workflows.
• Accelerate speed to market by enabling faster, more reliable delivery of features through CI/CD and DevOps practices.
• Demonstrate industry-leading technical expertise to improve product quality and optimize day-to-day engineering operations.
• Understand and manage upstream/downstream impacts across front-end and back-end architectural modules.
• Use heat matrices and analytics to prioritize quality and development engineering resources on high-impact areas while identifying lower-priority zones.
• Proactively monitor and manage automation solutions to ensure scalability, stability, flexibility, simplicity, performance, availability, security, and capacity.
• Troubleshoot and optimize automation artifacts for seamless execution in CI/CD pipelines and local environments, minimizing dependency conflicts and reducing cycle time.
• Drive adoption of automation solutions across teams, ensuring they are low-maintenance, enhancement-ready, and require no deep technical intervention.
• Promote a culture of automation, encouraging teams to adopt automated processes wherever feasible.
• Serve as a recognized subject matter expert (SME) in AI/ML-driven automation and enterprise engineering practices.

Qualifications

Required Skills:

• Foundations in Machine Learning and Deep Learning: Strong understanding of algorithms, neural networks, supervised and unsupervised learning, and experience with frameworks such as TensorFlow, PyTorch, and Keras.
• Generative AI: Practical knowledge of generative AI techniques and architectures, including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers for tasks such as content generation, summarization, and synthetic data creation.
• Natural Language Processing (NLP): Proficiency in NLP techniques and libraries such as spaCy, NLTK, and Hugging Face Transformers for tasks like text generation, classification, and conversational AI.
• Prompt Engineering & Fine-Tuning: Basic understanding of prompt engineering, fine-tuning of large language models, and Retrieval-Augmented Generation (RAG) for domain-specific applications.
• Model Deployment: Experience deploying models using TensorFlow Serving, TorchServe, or cloud-based platforms like AWS SageMaker and Google AI Platform.
• Programming Expertise: Strong foundation in Python and practical experience applying it in AI/ML workflows to transition from traditional development to agile, innovation-driven solutions.
• Containerization & Orchestration: Hands-on experience with Docker and Kubernetes/OpenShift for packaging and managing scalable applications.
• CI/CD Pipelines: Knowledge of continuous integration and deployment practices, tools, and automation strategies.
• Security Best Practices: Understanding of security principles including Identity and Access Management (IAM), encryption, and network security to ensure safe deployment of AI/ML solutions.
• Cloud Services: Familiarity with cloud platforms such as AWS, Google Cloud, and Azure for deploying, managing, and scaling applications and machine learning models.

Required Experience & Education:

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field.
• 8+ years of experience in software engineering, automation, or machine learning within enterprise environments.
• Strong programming skills in Python or similar languages, with experience in building scalable automation solutions.
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and automation tools.
• Proven ability to design and implement end-to-end solutions that integrate across development, testing, and operational environments.
• Solid understanding of CI/CD pipelines, DevOps practices, and SDLC methodologies.
• Demonstrated ability to consult and collaborate with cross-functional teams including business, operations, and IT leadership.

Desired Experience:

• Proven experience leading or contributing to enterprise-scale AI/ML automation initiatives across the full Software Development Lifecycle (SDLC).
• Demonstrated success in designing and deploying self-service, low-maintenance automation solutions adopted by cross-functional teams including development, QA, business, and operations.
• Experience working in Agile environments with a strong understanding of DevOps principles and CI/CD integration.
• Hands-on experience with implementing Generative AI solutions in real-world applications, including content generation, summarization, or intelligent test automation.
• Track record of reducing product duplication and improving system quality through reusable architecture and shared tooling.
• Experience collaborating with architecture, security, and infrastructure teams to ensure scalable, secure, and compliant solution delivery.
• Familiarity with enterprise environments involving hybrid cloud infrastructure, container orchestration, and secure data pipelines.
• Strong communication and leadership skills, with the ability to influence stakeholders and drive adoption of innovative technologies across diverse teams.

Location & Hours of Work

Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

Equal Opportunity Statement

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.