We are seeking a highly skilled and motivated Python Machine Learning Engineer with extensive experience designing, developing and deploying Machine Learning models and NLP applications.
As a Senior Python Machine Learning Engineer, you will provide expertise in LLMs for diverse Python applications, such as chatbots, question-answering systems, and content generation.
The remote option applies only to the Candidates who will be working from any location in Ukraine.
The remote option applies only to the Candidates who will be working from any location in Ukraine.

#LI-DNI#LI-IRINABENKO

Responsibilities

• Design, build and deploy Machine Learning models and applications using Python
• Research and provide expertise in LLMs for diverse applications such as question-answering systems, chatbots, and content generation
• Collaborate with cross-functional teams to establish product requirements, deliver top-quality solutions, and ensure seamless integration with existing systems
• Optimize and fine-tune LLM models to meet performance, efficiency and accuracy goals
• Create and maintain documentation for implemented solutions, ensuring accurate and concise reporting on technical specifications and system requirements
• Troubleshoot and resolve issues related to LLM usage in production scenarios, ensuring high reliability and performance

• 3+ years of Python development and Machine Learning engineering
• Experience with software engineering principles, including design patterns and code optimization techniques
• Demonstrated solid programming skills in Python using efficient algorithms
• Proficiency working with LLMs, such as GPT3/ Llama/ T5/ BERT and NLP frameworks, like Hugging Face Transformers, PyTorch /JAX
• Familiarity with cloud computing platforms, such as AWS, Azure, or GCP
• Showcase of LLMOps: Auto-GPT, Langchain, LlamaIndex, VectorDBs
• Strong understanding of statistical methods and analysis
• Knowledge of version control systems such as Git

• 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