Senior Machine Learning Engineer

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

Benefits

With us you can:

• 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)

We focus on your professional growth:

• You can 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)

What we offer:

• 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