AI Engineer – Model Training & Deployment
CleraIndustrial Electrification company
Munich, GermanyJunior
Data & AI
About the role
TL;DR
Entry-level AI Engineer to train, deploy, and iterate on deep learning models for industrial robotics.
- •This is an entry-level AI Engineer position on a hands-on ML and robotics team at an early-stage industrial robotics startup based in Munich, Germany.
- •You'll work on developing, training, and deploying deep learning models that enable robotic work cells to perceive and act in real industrial environments
- •think surface finishing, welding, and protective coating.
- •You'll have real impact from day one, with room to grow into broader deployment and MLOps responsibilities as the technical stack matures.
- •As an early team member, you'll also participate in equity.
- •Key Responsibilities Train and implement deep learning models as part of the core robotics product.
- •Iterate on model architectures and training pipelines to improve real-world performance.
- •Support deployment of trained models to customer and edge environments.
- •Collaborate closely with the ML and robotics team on the core technical roadmap.
- •Contribute to getting models running reliably in on-site and edge customer deployments.
- •Requirements 1+ year of hands-on experience training deep learning models using Python and PyTorch.
- •Experience with Docker for model deployment and environment replication.
- •Comfortable working in a Linux / command-line environment.
- •Experience deploying trained models to customer or production environments.
Required skills
PythonPyTorchDockerLinuxComputer Vision
Nice-to-have skills
ONNX
Domain expertise
deeptechautomotive
Benefits & perks
Early employee equity participation
Tech stack
PythonPyTorchDockerLinuxONNX