Job Details

Lead End-To-End Training And Fine-Tuning Of Large Language Models

Lead end-to-end training and fine-tuning of Large Language Models LLMs, including both open-source e.g., Qwen, LLaMA, Mistral and closed-source (e.g., OpenAI, Gemini, Anthropic) ecosystems. Architect and implement GraphRAG pipelines, including knowledge graph representation and retrieval for enhanced contextual grounding. Build and scale distributed training infrastructure.