EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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




- Design and develop the migration solution for existing patient predictive models into the new analytical rework framework
- Architect the model transition approach to ensure data integrity and prediction accuracy
- Implement MLOps practices for model lifecycle management and monitoring
- Execute the transition of all in-scope patient models to AWS-native ML services
- Validate migrated models against baseline performance metrics
- Ensure operational continuity throughout the migration process
- Design and implement agentic and multi-agent workflow patterns
- Integrate GenAI and LLM capabilities into the analytical framework
- Develop automation for model training, evaluation, and deployment pipelines
- Lead team onboarding sessions for the new analytical framework
- Conduct comprehensive knowledge transfer sessions to support adoption
- Create documentation and training materials for operational han

📌 Lead AI/ML Engineer (Colombia)
🏢 EPAM Systems
📍 Colombia