machine learning engineer for LLM applications

EPAM provides enterprise software products, open source solutions, and accelerators through EPAM SolutionsHub.

• Design, build, and deploy Machine Learning models and applications using Python;
• Research and provide expertise in LLMs for question-answering systems, chatbots, content generation, and other applications;
• Collaborate with cross-functional teams to establish product requirements, deliver high-quality solutions, and integrate them with existing systems;
• Optimize and fine-tune LLM models to meet performance, efficiency, and accuracy goals;
• Create and maintain documentation for implemented solutions, including technical specifications and system requirements;
• Troubleshoot and resolve LLM-related issues in production to ensure high reliability and performance.

• Have 3+ years of experience in Python development and Machine Learning engineering;
• Understand software engineering principles, including design patterns and code optimization techniques;
• Demonstrate strong Python programming skills and knowledge of efficient algorithms;
• Work proficiently with LLMs such as GPT3, Llama, T5, and BERT, as well as NLP frameworks including Hugging Face Transformers, PyTorch, and JAX;
• Be familiar with cloud computing platforms such as AWS, Azure, or GCP;
• Demonstrate LLMOps experience with Auto-GPT, Langchain, LlamaIndex, and VectorDBs;
• Have a strong understanding of statistical methods and analysis;
• Know version control systems such as Git.

• Office role in Kyrgyzstan.