Machine Learning Engineer - Large Language Models

Responsibilities Adapt LLMs to diverse healthcare use-cases using techniques such as SFT, PEFT, DPO, and PPO Optimize LLMs for Retriever-Augmented Generation (RAG) Collect, clean, and refine healthcare datasets for training LLMs Convert models into various formats suitable for production environments Requirements 5+ years of hands-on professional experience in software engineering, building production-grade deep learning solutions Academic degree in computer science, data science, or a related degree (M.Sc. or Ph.D. preferred) Demonstrated expertise in model tuning frameworks like Axolotl Familiarity with model serving frameworks, including vLLM, TGI, and llama-cpp Knowledge of model quantization techniques and frameworks Hands-on experience with Transformer architectures and proficiency in PyTorch About the Company John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. It helps healthcare and life science companies build, deploy, and operate AI products and services.