Machine Learning Engineer - Large Language Models

📋 Description

• Fine-tune and optimize LLMs for healthcare using SFT, PEFT, DPO, PPO.
• Develop RAG pipelines to improve AI information retrieval.
• Collect, prepare, clean, and curate high-quality datasets for training and evaluation.
• Convert, optimize, and package AI models for production across serving environments.
• Collaborate with cross-functional teams to deploy robust deep learning solutions for healthcare.
• Stay up to date with advancements in LLMs and AI engineering best practices.

🎯 Requirements

• 5+ years of professional experience in production-grade software and DL.
• Degree in CS, Data Science, ML; Master’s/PhD preferred.
• Proven experience with Large Language Models, fine-tuning/optimization.
• Hands-on with Axolotl and Transformer-based architectures.
• Experience with PyTorch ML frameworks.
• Familiar with model serving tech: vLLM, TGI, llama.cpp.

🎁 Benefits

• Fully remote work with collaboration across an international team.
• Competitive compensation package.
• Opportunity to work on cutting-edge AI and LLM technologies.
• Continuous learning and professional development opportunities.
• Exposure to impactful projects within healthcare, life sciences, and open-source AI.
• Inclusive, diverse, and collaborative workplace with fair hiring practices.