What You Will Do

• Design, build and optimize scalable machine learning infrastructure to support training/fine-tuning, evaluation, and deployment of LLMs and their applications.
• Leverage LLMs to develop multi-turn multi-hop conversational search systems and products.
• Craft new machine learning features and optimize existing ones to enhance quality metrics to meet the product requirements.
• Research and productionize next-gen search platforms using RAG (Retrieval Augmented Generation) architecture.
• Optimize system performance of retrieval, ranking, reasoning, and generation modules.
• Develop tools, processes and metrics to measure and monitor the system performance and quality.
• Collaborate with cross functional teams from machine learning, engineering, data analy...