Machine Learning Engineer

Build ML and LLM systems that run inside operations, including forecasting build timelines, flagging schedule risk, and extracting structure from vendor documents. Own models end to end from problem framing and data through deployment, evaluation, and production iteration. Ship agentic systems with guardrails, authorization, audit, and evals, and partner with data engineering and product teams to deliver predictions in tools people already use.