Senior Machine Learning Engineer Ukraine or Remote

Responsibilities

• Review and analyze existing DS models, customize and parameterize them as needed
• Design, build, maintain, troubleshoot, and optimize the full machine learning lifecycle, which includes the following
• Machine learning model optimization
• Data preparation
• Feature extraction
• Monitoring model performance
• Collaboration with data scientists and engineering team to optimize the performance of machine learning pipelines
• Setting up and configuring continuous software integration and deployment processes
• Continuous training in designing and maintaining machine learning models
• Provide capabilities for early detection of various drifts (data, concepts, schemas, etc.)

Requirements

• Experience as a machine learning or data engineer in designing, building, and deploying machine learning and data pipelines
• Good knowledge and experience in Python development
• Good understanding of the Python machine learning ecosystem (PyTorch, TensorFlow, NumPy, pandas, sklearn, XGBoost, etc.)
• Good understanding of concepts and best practices for efficient deployment and support of machine learning models
• Experience with some platforms/technologies related to best practices for efficient deployment and maintenance of machine learning models, such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLflow, Kubeflow, Airflow, Argo Workflow, TensorFlow Extended (TFX), etc
• Experience with basic software development tools, such as git, continuous integration and deployment environments (such as Jenkins or Buildkite), PyPI, Docker, Kubernetes, unit tests, and object-oriented design in general

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)
• Consider relocation options in over 30 countries worldwide
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• 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)
• 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