Senior Python Machine Learning Engineer

About the Position

We are seeking a Senior Python Machine Learning Engineer with expertise in NLP and LLMs to join our remote team in Ukraine.

Responsibilities

• Design, construct, and implement Machine Learning models and applications leveraging Python
• Investigate and provide insights on LLMs across various platforms including chatbots, question-answering systems, and content generation
• Work alongside multidisciplinary teams to define project necessities, deliver high-quality solutions, and ensure cohesive integration with existing infrastructures
• Tune and enhance LLM models to improve performance, efficiency, and precision
• Produce and update documentation related to developed solutions, providing clear and detailed reports on technical functionalities and system specifications
• Identify and rectify challenges with LLM in production environments to uphold strong reliability and performance

Requirements

• 3+ years in Python development and Machine Learning engineering
• Background in software engineering principles, such as design architectures and code enhancement techniques
• Robust coding capabilities in Python featuring high-performance algorithms
• Proficiency in working with advanced LLMs, and familiarity with NLP frameworks like Hugging Face Transformers, PyTorch/JAX
• Understanding of cloud services platforms, like AWS, Azure, or GCP
• Portfolio of LLMOps projects, e.g., Auto-GPT, Langchain, LlamaIndex, VectorDBs
• Deep knowledge of statistical methodologies and analytics
• Familiarity with version control tools such as Git
• English language proficiency at an Upper-Intermediate level (B2) or higher

What 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)
• Relocation opportunities may be available for eligible candidates, depending on the role and openings at other EPAM locations
• Participate in volunteer, charity programs and communities (both technical and interest-based)
• Focus on your professional growth:
  • 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