We are seeking a Lead AI/ML Engineer to drive the migration of patient predictive models into a new analytical rework framework, architect scalable ML solutions on AWS, and lead the implementation of agentic workflows powered by GenAI and LLM capabilities. This role combines hands-on technical leadership with team enablement, guiding the transition of critical healthcare models while ensuring data integrity, operational continuity, and adoption across the organization.
Responsibilities
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Design and develop the migration solution for existing patient predictive models into the new analytical rework framework
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Architect the model transition approach to ensure data integrity and prediction accuracy
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Implement MLOps practices for model lifecycle management and monitoring
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Execute the transition of all in-scope patient models to AWS-native ML services
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Validate migrated models against baseline performance metrics
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Ensure operational continuity throughout the migration process
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Design and implement agentic and multi-agent workflow patterns
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Integrate GenAI and LLM capabilities into the analytical framework
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Develop automation for model training, evaluation, and deployment pipelines
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Lead team onboarding sessions for the new analytical framework
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Conduct comprehensive knowledge transfer sessions to support adoption
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Create documentation and training materials for operational handoff
Requirements
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5+ years of experience in AI/ML engineering with strong expertise in Amazon Web Services (AWS)
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Deep background in data engineering
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Extensive skills in MLOps
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Strong qualifications in agentic workflows and multi-agent systems
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Solid expertise in Large Language Models (LLM) and GenAI
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High proficiency in Python
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English proficiency at B2 level or higher
Nice to have
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Familiarity with Amazon SageMaker
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Familiarity with AWS Bedrock
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Background in healthcare domain
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Experience in patient data analytics and predictive modeling
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
