Description
The role designs and deploys end-to-end machine learning and large language model solutions, including agentic systems, computer vision, forecasting, foundation-model integration, and production infrastructure. It also leads and mentors data scientists and developers, translates complex customer requirements into project plans, and owns model selection, fine-tuning, serving, APIs, and infrastructure. Required qualifications include a bachelor's and master's degree in a relevant field or equivalent practical experience, agentic and RAG experience, MLOps familiarity, distributed training and inference experience, and exposure to containerization and orchestration.
