Senior AI Platform Engineer

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 looking for a Senior AI Platform Engineer to deliver robust infrastructure supporting production ML solutions on AWS, enhancing AI/ML workflows and platforms. You will collaborate with data science teams to architect innovative AI/ML environments using AWS services like SageMaker and EKS, driving projects from inception to delivery. Join us to advance AI technology within a forward‑thinking team. Responsibilities Deliver infrastructure and platforms to enable deployment and monitoring of ML solutions in production Improve ML solution performance and scalability on AWS Work closely with data science teams to build AI/ML workflows and environments leveraging AWS services Coordinate with R&D data scientists to operationalize ML pipelines, models, and algorithms Own software engineering lifecycle from design through implementation, testing, and maintenance Drive technology initiatives from initial concept through to project completion Collaborate with cross‑functional teams to integrate advances in Data Processing and AI into the technology stack Requirements Extensive experience working with AWS cloud infrastructure, including 3+ years in DevOps or related roles Proficient knowledge of AWS services such as SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step Functions, EKS, and ECS Hands‑on experience with DevOps tools including Docker and Git Strong skills in infrastructure as code using Terraform, Ansible, and CloudFormation Advanced programming ability in Python Background managing enterprise platforms and responding to client demands and feature requests Experience with containerization and microservices architectures like Kubernetes, Docker, and serverless systems Proven experience with CI/CD pipelines including CodePipeline, CodeBuild, and CodeDeploy Familiarity with GxP compliance standards Excellent communication, analytical thinking, and problem‑solving capabilities English proficiency at Upper‑Intermediate (B2) level Nice to have AWS or related cloud technology certifications Familiarity with large‑scale data processing frameworks such as Hadoop or Spark Experience using data science tools like R and Jupyter notebooks Exposure to multi‑cloud environments including AWS, Azure, or GCP Skills in mentoring, coaching, and supporting peers and clients Understanding of SAFe agile methodologies Practical experience building MLOps environments ready for production Benefits International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid 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 Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering, Information Technology, and Business Development Location: Mexico City Metropolitan AreaSalary: MX$25,000.00‑MX$45,000.00 #J-18808-Ljbffr