Lead AI/ML Engineer

EPAM Systems

Colombia

Presencial

COP 282.380.000 - 376.506.000

Jornada completa

Hace 6 días
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Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits
Global career opportunities
Paid time off

Descripción de la vacante

EPAM Systems is seeking a Lead AI/ML Engineer to migrate patient predictive models into a unified analytical framework on AWS, architect scalable ML solutions, and lead GenAI-enabled workflows across multinational teams.

You will guide hands-on technical leadership, ensure data integrity, and drive adoption of advanced AI/ML practices while aligning with healthcare data governance and operational continuity.

Formación

  • 5+ years of experience in AI/ML engineering with strong AWS
  • Deep background in data engineering
  • Extensive skills in MLOps
  • Strong qualifications in agentic workflows and multi-agent systems
  • Solid expertise in Large Language Models (LLM) and GenAI
  • High proficiency in Python
  • English proficiency at B2 level or higher

Responsabilidades

  • 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 handoff

Conocimientos

Python
AWS
MLOps
LLM/GenAI
Data engineering
Agentic workflows

Herramientas

SageMaker
Bedrock

Descripción del empleo

EPAM is a leading global 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 handoff
Requirements
  • 5+ years of experience in AI/ML engineering with strong expertise in Amazon Web Services (AWS)
  • Deep background in data engineering
  • Extensive skills in MLOps
  • Strong qualifications in agentic workflows and multi-agent systems
  • Solid expertise in Large Language Models (LLM) and GenAI
  • High proficiency in Python
  • English proficiency at B2 level or higher
Nice to have
  • Familiarity with Amazon SageMaker
  • Familiarity with AWS Bedrock
  • Background in healthcare domain
  • Experience in patient data analytics and predictive modeling
We offer
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programsPaid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • 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.

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