We are looking for a Lead Machine Learning Engineer who will design ML models with continuous training and build frameworks for data scientists. Apply for the vacancy if you are highly competent in creating and deploying production applications and data pipelines.

The remote option applies only to the Candidates who will be working from any location in Ukraine.
The remote option applies only to the Candidates who will be working from any location in Ukraine.

#LI-DNI#LI-IRINABENKO

Responsibilities

• Manage the transition of machine learning algorithms to the production environment and integration with the enterprise ecosystem
• Design, maintain, and optimize the complete end-to-end machine learning life cycle
• Design specifications, documentation and user guides
• Contribute to the improvement of SDLC practices, establish and configure CI/CD/CT processes
• Provide capabilities for early detection of various drifts (data, concept, schema, etc.)

• 5+ years of experience in enterprise software development
• 3+ years of background in Machine Learning
• Qualifications in designing, building and deploying production applications and data pipelines
• Competency in the development of highly available, largely scalable, ML-driven applications and systems
• Hands-on expertise in the implementation of SDLC best practices
• Knowledge 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/technologies
• Production experience in integrating ML models into complex data-driven systems/IoT devices/mobile devices
• Competency in basic software engineering tools (CI/CD environments such as Jenkins or BuildKit, PyPI, Docker, 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