Azure ML Physics‑Informed ML Engineer for Fast Design

Molex in Austin, TX is seeking an ML Engineer to build physics-informed surrogate models on Azure ML that predict engineering outcomes from design parameters. You’ll pre-screen candidate designs in milliseconds to accelerate the design-optimization cycle. You will collaborate with data scientists and MLOps teams to deploy models via Azure ML endpoints, monitor drift, and benchmark speedups versus full simulations to guide platform-level performance tuning.