Machine Learning Engineering & 7 others
EPAM Systems
Software Engineering, Data Science
Ukraine
Posted on Jan 16, 2026
Responsibilities
- Design and build scalable data processing pipelines using Python, Spark, and PySpark
- Implement and maintain AWS infrastructure and deploy applications using Databricks
- Develop and manage CI/CD pipelines for machine learning models using Jenkins and other tools
- Utilize Amazon SageMaker for building, training, and deploying machine learning models
- Monitor and optimize machine learning model performance and efficiency
- Ensure data quality and integrity throughout the data lifecycle
- Collaborate with cross-functional teams during brainstorm meetings to develop new use cases
- Create comprehensive unit tests for various machine learning processes from preprocessing to post-processing
- Adapt data science pipelines based on specific project prerequisites
- Communicate effectively to seek clarifications and discuss technical details
Requirements
- Proficiency in Python, Spark, and PySpark
- Experience in AWS and Databricks
- Expertise in MLOps practices and tools like Jenkins
- Skills in Amazon SageMaker for machine learning model management
- Background in CI/CD tools and Terraform for infrastructure as code
- Capability to wrestle new use-cases quickly and comfortably
- Understanding of key concepts in productionized data science pipelines
- Experience in data preprocessing and modeling
- Competency in creating unit tests for multiple stages of machine learning processes
- Clear communication skills
Nice to have
- Familiarity with Apache Airflow
- Knowledge of data quality best practices
- Experience with Databricks and Jenkins
We offer/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