Machine Learning Engineer
Core
Build and deploy AI-driven simulation software for engineering and manufacturing, embedding ML models into tools for customers in Aerospace, Defense, Energy, and Automotive.
Role type
Senior Machine Learning Engineer (Delivery)
Builds
AI simulation software stack, reusable ML libraries, and customer-facing tools
Domain
Deep-tech, AI simulation, multi-physics engineering
Deliverable
production ML models | product features
Required skills
3D point cloud and mesh data manipulation, end-to-end ML pipeline design, Python, TensorFlow, MLFlow, distributed computing (Spark, Dask), cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), MLOps practices
Preferred skills
ML/Computational statistics in industrial settings (supply chain, manufacturing), customer-facing project delivery
Technologies
Python, TensorFlow, MLFlow, Spark, Dask, AWS, Azure, GCP, Docker, Kubernetes
Responsibilities
Design and test reliable, scalable ML data pipelines; explore and manipulate 3D point cloud and mesh data; own delivery of technical workstreams; create analytics environments in cloud/on-premise; translate R&D outputs into reusable libraries and products; coach colleagues on engineering best practices
Seniority
Senior, hands-on IC with customer-facing ownership