We are searching for a Lead Machine Learning Engineer who will be responsible for designing ML models that undergo ongoing training and developing frameworks suited for data scientists.
If you possess exceptional skills in developing and implementing production applications and data pipelines, consider applying for this position.
The remote option applies only to the Candidates who will be working from any location in Ukraine.

#LI-DNI#LI-IRINABENKO

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.)

• 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)

• 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)

• 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