We are looking for a passionate Senior Machine Learning Engineer eager to drive innovation and excellence in our machine learning processes. We strongly prefer those well-versed in the financial sector.

Join us to be part of a forward-thinking team that values innovation, growth, and collaboration. Make your mark in the world of machine learning and artificial intelligence with us!
The remote option applies only to the Candidates who will be working from any location in Ukraine.

#LI-DNI#LI-IK2

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

• 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

• 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