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 RAG pipelines to improve AI-powered information retrieval.
• Collect, prepare, clean, and curate high-quality datasets for training and evaluation.
• Convert and package AI models for production deployment across serving environments.
• Collaborate with cross-functional teams to deploy robust DL solutions for healthcare.
• Stay up to date with advances in LLMs and AI engineering practices.

🎯 Requirements

• At least 5 years of professional experience in production-grade software and deep learning.
• Degree in CS/DS/ML or related field; Master’s or PhD preferred.
• Proven experience with Large Language Models, including fine-tuning and optimization.
• Hands-on with Axolotl and Transformer architectures.
• Experience with PyTorch.
• Familiarity with model serving: vLLM, TGI, llama.cpp.

🎁 Benefits

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