Machine Learning Engineer - Large Language Models

📋 Description

• Fine-tune and optimize LLMs for healthcare and life sciences using SFT, PEFT, DPO, PPO.
• Develop and enhance Retrieval-Augmented Generation (RAG) pipelines for AI retrieval.
• Collect, prepare, clean, and curate high-quality datasets for training and eval.
• Convert, optimize, and package AI models for production deployment across serving environments.
• Collaborate with cross-functional teams to deploy DL solutions for healthcare.
• Stay updated on LLM and ML infrastructure advances to improve performance.

🎯 Requirements

• 5+ years of professional experience in production-grade software and DL solutions.
• Degree in CS/DS/ML or related field; MS/PhD strongly preferred.
• Proven experience with LLMs, including fine-tuning and optimization.
• Hands-on experience with PyTorch.
• Familiarity with vLLM, TGI, and llama.cpp.
• Strong problem-solving and collaboration in distributed teams.

🎁 Benefits

• Fully remote work environment with international collaboration.
• Competitive compensation package.
• Opportunity to work on cutting-edge AI and LLM tech.
• Continuous learning and professional development opportunities.
• Exposure to healthcare, life sciences, and open-source AI projects.
• Inclusive, diverse, and collaborative workplace with equal opportunity.