Senior Machine Learning Engineer

About the Position

Senior Machine Learning Engineer

Location: Remote, Kyiv, Ukraine

We are seeking a Senior Machine Learning Engineer to join our team and engage with our GenAI project. This role involves developing and implementing machine learning models and algorithms to enhance customer experiences, streamline business operations, and increase revenue for our client.

Responsibilities

• Design and implementation of machine learning models and algorithms
• Development of scalable machine learning pipelines utilizing Apache Spark and Databricks
• Implementation of MLOps practices to ensure efficient model deployment and monitoring
• Use of Microsoft Azure for cloud-based machine learning services
• Collaboration with data scientists and other stakeholders to comprehend business requirements
• Evaluation and optimization of machine learning models for performance and accuracy

Requirements

• Experience in Machine Learning Engineering
• Proficiency in Apache Spark, Databricks, MLOps, Microsoft Azure, Python
• Excellent English communication skills (B2 level)
• Flexibility to work PST hours shift at least till 8 pm by Kyiv time

Nice to Have

• Familiarity with Docker and Kubernetes
• Background in LangChain and Large Language Models
• Understanding of Natural Language Processing

We Offer

• Flexible remote work or office options in Ukraine
• Necessary equipment for work tasks
• Opportunities to change projects and technology stacks within EPAM
• Experience in various business domains (Insurance, E-commerce, Healthcare, Finance, Travelling, Media, Artificial Intelligence, and more)
• Relocation opportunities for eligible candidates
• Participation in volunteer, charity programs, and communities
• Focus on professional growth:
  • Plan your individual career path with your manager
  • Regular feedback from colleagues
  • Free English improvement with certified teachers
  • Free training and certification in AWS, GCP, or Azure Clouds
  • Access to internal E-learn training program and partner resources
  • Study at EPAM Solution Architecture School
  • Leadership development opportunities
  • Participation in internal communities and events
• Vacation and sick leave
• Voluntary Medical Insurance programs
• Medical insurance for family members at corporate rates
• Company support during significant life events
• 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

About the Company

Join EPAM to work on impactful projects, grow professionally, and be part of a supportive community.