Senior Machine Learning Engineer Ukraine or Remote

Responsibilities

• Cross-Functional Collaboration: Work closely with cross-functional teams to implement and support cutting-edge ML models
• Data-Driven Research: Conduct research and experiments with diverse datasets to optimize ML model performance
• Workflow Management: Handle complex data workflows with ease and efficiency
• Expert Knowledge Development: Deepen your expertise in your chosen field, staying ahead of industry trends
• Process Improvement: Enhance end-to-end development processes and pipelines, including data collection tools and production deployment, with a focus on CI/CD
• Continuous Learning: Stay at the forefront of technological advancements and trends in data science and AI
• Mentorship: Support and mentor junior team members, fostering a culture of knowledge sharing and growth

Requirements

• Experience: 5+ years in machine learning and MLOps, with a track record of delivering impactful AI/ML solutions
• Research & Experimentation: Proven ability to conduct research and experiments to enhance AI/ML model performance
• Project Lifecycle Management: Skilled in handling all project stages, from business analysis to product implementation
• Python Proficiency: Expert in Python for crafting robust and high-quality code; experience with version control systems (preferably Git)
• Database Expertise: Proficient in working with databases and SQL (e.g., MS SQL, Snowflake)
• AWS Mastery: Hands-on experience with AWS cloud platform (e.g., SageMaker, Step Functions, Glue, Lambda, SQS, ECS, S3, ECR, CloudWatch, IAM, MWAA)
• Container & Orchestration Tools: Deep understanding of containers and orchestration tools (e.g., Docker, CI/CD)
• Remote Work Savvy: Comfortable working remotely and effectively communicating with cross-functional teams
• Financial Acumen: Strong foundational understanding of financial markets
• Language Proficiency: English proficiency at B2 level or higher is mandatory

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