Machine Learning Engineering & 2 others
EPAM Systems
Software Engineering, Data Science
Ukraine
Posted on Jan 16, 2026
Responsibilities
- Contribution to the design, development, and management of an ML pipeline adhering to best practices
- Development, deployment, maintenance, troubleshooting, and enhancement of ML pipeline stages
- Leadership in designing and deploying ML prediction endpoints
- Collaboration with System Engineers to establish the ML lifecycle management setup
- Authoring specifications, documentation, and user guides for applications
- Enhancing coding practices and organizing repositories within the scientific workflow
- Configuring pipelines for various projects
- Continuous detection of technical risks and discrepancies, along with formulating mitigation plans
- Partnership with data scientists to operationalize predictive models, understanding the objectives and purposes of models developed by data scientists, and building scalable data preparation pipelines
Requirements
- 3+ years of programming experience, ideally in Python, alongside robust SQL knowledge
- Profound MLOps experience (e.g., Sagemaker, Vertex, Azure ML)
- Intermediate proficiency in Data Science, Data Engineering, and DevOps Engineering
- Showcase of at least one project delivered to production in an MLE role
- Expertise in Engineering Best Practices
- Practical experience in implementing Data Products using Apache Spark Ecosystem (Spark SQL, MLlib/SparkML) or alternative technologies
- Familiarity with Big Data technologies (e.g., Hadoop, Spark, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, etc.)
- Experience with automated data pipeline and workflow management tools such as Airflow, Argo Workflow, etc.
- Experience in different data processing paradigms such as batch, micro-batch, streaming
- Practical experience with at least one of the major Cloud Providers, including AWS, GCP, and Azure
- Production experience in integrating ML models into complex, data-driven systems
- Knowledge of DS using Tensorflow/PyTorch/XGBoost, NumPy, SciPy, Scikit-learn, Pandas, Keras, Spacy, HuggingFace, Transformers
- Experience with various types of databases including Relational, NoSQL, Graph, Document, Columnar, Time Series, etc.
Nice to have
- Practical experience with Databricks MLOps-related tools or technologies such as MLFlow, Kubeflow, TensorFlow Extended (TFX)
- Experience with performance testing tools like JMeter or LoadRunner
- Familiarity with containerization technologies like Docker
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