Principal Machine Learning Engineer
Core
Lead the deployment of AI-driven simulation software (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection) into customer production environments for advanced industries.
Role type
Principal Machine Learning Engineer (Delivery)
Builds
Production ML models and engineering surrogates for engineering and manufacturing optimization
Domain
Deep-tech, AI simulation, Aerospace & Defense, Materials, Energy, Semiconductors, Automotive
Deliverable
production ML models
Required skills
End-to-end ML system design, scalable data pipeline construction, 3D point-cloud and mesh data manipulation, cloud and on-prem infrastructure management, technical leadership, customer-facing solutioning
Preferred skills
Experience in commercial non-research environments, ability to mentor engineers and data scientists
Technologies
Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow
Responsibilities
Own deployment of ML models to customer production environments; Communicate results and trade-offs to senior stakeholders; Lead scoping and architecture design for data/ML systems; Build robust and scalable ML systems, training and inference pipelines and APIs; Mentor and develop engineers and data scientists; Travel to customer sites globally to collaborate on-site
Seniority
Principal, hands-on IC with leadership and mentorship