Machine Learning Engineer
Core
Design, build, and deploy scalable AI-driven simulation software and ML systems for engineering and manufacturing across advanced industries.
Role type
Senior Machine Learning Engineer (Delivery)
Builds
Production ML models, engineering surrogates, data pipelines, and APIs for CAE/CFD/FEA data, time-series forecasting, anomaly detection, and optimization.
Domain
Deep-tech, AI-driven simulation, Aerospace & Defense, Materials, Energy, Semiconductors, Automotive
Deliverable
production ML models
Required skills
End-to-end ML system design and deployment, scalable data pipeline construction, 3D point-cloud and mesh data manipulation, cloud and on-prem infrastructure management, technical leadership and mentoring, stakeholder communication, project scoping and architecture design
Preferred skills
Experience in commercial non-research environments, ability to work side-by-side with customers on-site
Technologies
Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow
Responsibilities
Own deployment of ML models and engineering surrogates to customer production environments; 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; communicate results and trade-offs to senior stakeholders; travel to customer sites globally to collaborate on-site and bring new customers on board
Seniority
Senior, hands-on IC with leadership responsibilities