Azure ML Physics‑Informed ML Engineer for Fast Design
Molex
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. #J-18808-Ljbffr Molex
Vacancy posted 3 days ago
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