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 info retrieval.
• Collect, prepare, clean, and curate datasets for training and evaluation.
• Package AI models for production deployment across serving environments.
• Collaborate with cross-functional teams to deploy DL solutions for healthcare.
• Stay updated on LLMs, ML infra, and AI engineering best practices.

🎯 Requirements

• At least 5 years in production software and DL solutions.
• Degree in CS/DS/ML or related; Master's/PhD preferred.
• Proven experience with LLMs, incl. fine-tuning and optimization.
• Hands-on with Axolotl and Transformer architectures.
• Experience with PyTorch.
• Familiarity with vLLM, Text Generation Inference, and llama.cpp.

🎁 Benefits

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