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.