Machine Learning Engineer - Large Language Models

📋 Description

• Fine-tune and optimize LLMs for healthcare and life sciences (SFT, PEFT, DPO, PPO).
• Develop and improve Retrieval-Augmented Generation (RAG) pipelines.
• Prepare and curate datasets for training and evaluation.
• Package ML models for production deployment across serving environments.
• Stay updated on LLMs and ML infrastructure to improve performance.

🎯 Requirements

• At least 5 years of experience in production-grade software engineering and DL.
• Degree in CS/DS/ML or related field; Master's/PhD preferred.
• Proven experience with LLMs, including fine-tuning and optimization.
• Hands-on with Axolotl and Transformer architectures.
• Experience with PyTorch.
• Familiarity with model serving tools such as vLLM, TGI, llama.cpp.

🎁 Benefits

• Fully remote work environment with international team.
• Competitive compensation package.
• Opportunity to work on cutting-edge AI and LLM tech.
• Continuous learning and professional development.
• Impactful projects in healthcare, life sciences, and open-source AI.
• Inclusive, diverse, and collaborative workplace with fair hiring.