Machine Learning Engineer - Large Language Models

📋 Description

• Fine-tune and optimize LLMs for healthcare and life sciences (SFT/PEFT/DPO/PPO).
• Develop and enhance RAG pipelines for AI-powered retrieval.
• Prepare and curate high-quality datasets for training and evaluation.
• Package AI models for production deployment across serving environments.
• Collaborate with cross-functional teams to deploy robust DL solutions.
• Stay updated on LLMs, infra, and AI engineering best practices.

🎯 Requirements

• 5+ years in production-grade software and deep learning solutions.
• Degree in CS/Data Science/ML; Master's/PhD preferred.
• Experience with LLMs, including fine-tuning and optimization.
• Hands-on with Axolotl, Transformers, and PyTorch.
• Familiar with model serving tools: vLLM, TGI, llama.cpp.
• Knowledge of quantization and performance optimizations for constrained environments.

🎁 Benefits

• Fully remote work with international collaboration.
• Competitive compensation package.
• Work on cutting-edge AI and LLM tech.
• Continuous learning and professional development.
• Impactful healthcare, life sciences projects.
• Inclusive, diverse, collaborative workplace.