Lead Machine Learning Engineer

We are seeking a Lead Machine Learning Engineer with a focus on Data Science to join our team. This role involves monitoring ML pipelines, ensuring data and pipelines are accurate, supporting root cause analysis, and optimizing team collaboration. You will work independently and proactively, contributing to the team's success.

Responsibilities

• Provide daily user support for deployed data science products
• Monitor ML pipelines and ensure data availability and quality
• Collaborate with Software Architects and Core Data Assets ops teams
• Manage products configuration and support early releases
• Handle access management and application monitoring
• Contribute to second-level incidents and problem management
• Participate in knowledge management and solution development
• Lead the team of engineers
  
  
  

Requirements

• 5+ years of relevant professional experience
• 1+ year of relevant leadership experience
• Solid data engineering knowledge and proficiency in Python and SQL
• Experience with Azure, Databricks, and Microsoft Power BI
• Understanding of data science products and the ability to support ML pipelines and perform data analysis
• Knowledge of Containers (Docker and Kubernetes)
• Strong communication skills with the ability to effectively collaborate within a team
• B2+ English level proficiency
  
  
  

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
  
  
  

EPAM strives to provide its global team of over 52,800+ professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest.