Senior Machine Learning Engineer

About the Position

We are seeking a highly skilled and experienced Senior Machine Learning Engineer to drive the development, deployment, and monitoring of cutting-edge machine learning solutions in a scalable cloud environment. You will collaborate with a cross-functional team to deliver end-to-end ML pipelines, ensure high-quality model performance, and implement robust monitoring for production systems.

Responsibilities

• Reproduce training environments with pinned dependencies and seeds, rebuild feature and label pipelines, and register models
• Deploy SageMaker endpoints and batch jobs with autoscaling, execute shadow/canary strategies, and define rollback protocols
• Set up ML experiments, Model Registry, and Feature Stores, integrating them into CI/CD workflows
• Implement Model Monitor for drift and performance tracking, configure alerting mechanisms, and create comprehensive runbooks
• Optimize pipelines for reliable model serving, ensuring low latency, high quality, and rollback readiness during hypercare
• Collaborate with data engineers to build scalable data pipelines on S3/Snowflake for training and inference workflows

Requirements

• 3+ years of hands-on experience in machine learning engineering, with a solid background in Python 3.x
• Proficiency in PyTorch or TensorFlow, with a track record of building and deploying models in production
• Expertise in AWS SageMaker, including Pipelines, Registry, Endpoints, and Model Monitor
• Familiarity with MLflow or SageMaker Experiments for experiment tracking and artifact management
• Strong skills in Docker for containerization of ML workloads
• Experience with Feature Store solutions such as SageMaker Feature Store or Feast
• English level B1+ for effective communication

Nice to Have

• Proficiency in FastAPI or BentoML for lightweight API service development
• Knowledge of ONNX for model optimization and cross-platform interoperability
• Familiarity with distributed inference tools like Ray Serve or Triton
• Experience with large-scale distributed training using Horovod or DeepSpeed
• Understanding of Hugging Face Transformers for state-of-the-art NLP model implementation

We Offer

• Work on a flexible schedule remotely or from any of our comfortable offices or coworking spaces in Ukraine
• Receive the necessary equipment to perform your work tasks
• Change projects and technology stacks within EPAM
• Gain experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• Focus on your professional growth:
  • Plan your individual career path together with your manager
  • Receive regular feedback from colleagues
  • Improve your English for free with certified teachers (Speaking Clubs, client interview preparation courses, etc.)
  • Get the opportunity to undergo free training and certification in AWS, GCP, or Azure Clouds
  • Use the internal E-learn training program (18,200+ specialized training and mentoring programs)
  • Access corporate accounts on LinkedIn Learning, Get Abstract and other partner resources
  • Study at EPAM Solution Architecture School with the instructors who are practicing architects
  • Develop as a leader, join Delivery Management, Resource Management, Leadership Essentials school and more
  • Participate in internal communities (500+ meetups, technical discussions, brainstorming sessions, online events and conferences annually)

About the Company

Vacation and sick leave (including a sick leave without a medical certificate)

A wide range of Voluntary Medical Insurance programs providing both medical treatment and various preventive options (including sports activities)

Medical insurance for family members at corporate rates

Company support during significant life events (childbirth or adoption, marriage, etc.)

Support for psychological comfort: discounts on services from mental health specialists or coaches, thematic training

E-kids program - a free programming language training program for EPAMers' children