Machine Learning Engineer - Large Language Models

📋 Description

• Fine-tune LLMs for healthcare apps using SFT, PEFT, DPO, PPO.
• Develop RAG pipelines to improve AI retrieval.
• Prepare high-quality datasets for training and evaluation.
• Package models for production across serving environments.
• Collaborate with cross-functional teams to deploy DL solutions.
• Stay updated on LLMs and ML infra to boost performance.

🎯 Requirements

• 5+ years in production software and DL.
• Degree in CS/DS/ML; MS or PhD preferred.
• Proven LLM experience with fine-tuning and optimization.
• Hands-on PyTorch experience.
• Axolotl and Transformer architectures.
• Familiarity with vLLM, TGI, and llama.cpp.

🎁 Benefits

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