Machine Learning Engineer - Large Language Models

📋 Description

• Fine-tune and optimize LLMs for healthcare/life sciences using SFT, PEFT, DPO, PPO.
• Develop and enhance RAG pipelines for improved AI-powered retrieval.
• Collect, prepare, clean, and curate high-quality datasets for training.
• Convert, optimize, and package models for production deployment.
• Collaborate with cross-functional teams to deploy robust DL solutions.
• Stay up to date with LLMs, ML infrastructure, and AI best practices.

🎯 Requirements

• 5+ years building production-grade software and DL solutions.
• Degree in CS/Data Science/ML; Master's or PhD preferred.
• Proven experience with Large Language Models and fine-tuning.
• Hands-on with Axolotl and Transformer architectures.
• Experience with PyTorch.
• Familiar with vLLM, TGI, and llama.cpp.
• Understanding quantization and performance in constrained envs.
• Strong problem-solving and collaboration in distributed teams.
• Passion for AI innovation and real-world impact.

🎁 Benefits

• Fully remote work with international team.
• Competitive compensation package.
• Work on cutting-edge AI and Large Language Model tech.
• Continuous learning and professional development.
• Exposure to healthcare, life sciences, and open-source AI.
• Inclusive, diverse, and collaborative workplace.