Lead Machine Learning Engineer Ukraine or Remote

Responsibilities

• Oversee the migration of machine learning algorithms to a production setting and their integration within the company's existing systems
• Create, manage, and improve the entire machine learning lifecycle from start to finish
• Draft detailed specifications, documentation, and user manuals
• Enhance SDLC processes, set up and manage CI/CD/CT frameworks
• Implement mechanisms for the early detection of different types of drifts (data, concept, schema, etc.)

Requirements

• 5+ years of enterprise software development experience
• 3+ years of Machine Learning experience
• Qualifications in designing, constructing and launching production applications and data pipelines
• Skills in developing highly resilient, scalable applications and systems powered by ML
• Hands-on expertise in establishing SDLC best practices
• Understanding of Python development
• Familiarity with Cloud-native services (GCP, AWS, Azure) and Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)

Nice to have

• Expertise in MLOps-related platforms and technologies
• Experience in integrating ML models within multifaceted data-driven systems, IoT devices, or mobile devices
• Proficiency in basic software engineering tools (CI/CD environments like Jenkins or BuildKit, PyPI, Docker, and Kubernetes)

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