Machine Learning Engineer - Large Language Models

📋 Description

• Fine-tune and optimize LLMs for healthcare using SFT, PEFT, DPO, PPO.
• Develop and enhance RAG pipelines for AI information retrieval.
• Collect, clean, and curate high-quality datasets for training/eval.
• Package AI models for production deployment across serving environments.
• Collaborate with cross-functional teams to deploy robust DL solutions.
• Stay updated on LLMs and ML infra to improve performance.

🎯 Requirements

• At least 5 years of production-grade ML software experience.
• Degree in CS, Data Science, ML or related field; Master/PhD preferred.
• Experience with Large Language Models, including fine-tuning.
• Experience with PyTorch.
• Familiarity with vLLM, TGI, llama.cpp.
• Quantization and performance optimization for constrained environments.

🎁 Benefits

• Fully remote work with international team.
• Competitive compensation package.
• Work on cutting-edge AI and LLM tech.
• Ongoing learning and development opportunities.
• Impactful healthcare and open-source AI projects.
• Inclusive, diverse, collaborative workplace.