AI Engineer – Model Training & Deployment

Clera · Munichjunior

En corto

▸Desarrollar e implementar modelos de deep learning para robótica industrial en entornos reales.
▸Trabajar directamente con el equipo de ML y robótica en Munich, desde el día uno.
▸Inclusión en equity como empleado temprano, con crecimiento hacia MLOps y despliegue en edge.

Fluent English required

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¿Qué piden?

✓1+ año exper. en entrenamiento de modelos con Python y PyTorch.
✓Experiencia con Docker para despliegue y entornos replicables.
✓Experiencia en desplegar modelos en entornos de producción o cliente.
✓Comfort en entornos Linux y línea de comandos.
✓Resultados documentados y métricas de evaluación previas.
✓Inglés fluido (obligatorio).

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PythonPyTorchDockerLinuxONNXDVCSlurmCloudEdge computingModel deployment

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About the Role Join an early-stage industrial robotics startup at the forefront of intelligent automation. This is an entry-level AI Engineer position embedded within the ML and robotics engineering team in Munich. You'll work hands-on developing, training, and deploying deep learning models that give robotic work cells the perception and decision-making capabilities needed to operate in real industrial environments — think surface finishing, welding, and protective coating. As an early team member, you'll have meaningful impact from day one, with a clear path to grow into deployment and MLOps responsibilities as the product and stack mature. Equity participation is included. Note: This role is fully on-site in Munich, Germany. Visa sponsorship is not available. What You'll Do Train and implement deep learning models as a core part of the 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 customer and edge settings. Design and run reproducible experiments; track and evaluate results rigorously. What We're Looking For Required (dealbreakers): 1+ year of hands-on experience training deep learning models using Python and PyTorch (academic projects, thesis work, or industry experience all count). Experience with Docker for model deployment and environment replication. Also required: Experience deploying trained models to customer or production environments. Comfort working in a Linux/command-line environment. Documented results and evaluation metrics from prior model training work. Nice to have: Experience with ONNX or other model export/interoperability tools. Familiarity with data versioning tools (e.g., DVC). Background or strong interest in computer vision or robotics. Cloud deployment experience. Experience with Slurm or other cluster job scheduling systems. Interest in edge computing and on-device deployment. Fluent English required; German language skills are a plus. Compensation & Benefits Competitive salary (commensurate with experience). Early employee equity participation. High-impact role with direct contribution to a core product from day one. Opportunity to grow alongside the company and take on expanded technical responsibilities. Location This is a fully on-site role based in Munich, Bavaria, Germany . Candidates must be available to work on-site with the local engineering team. Visa sponsorship is not available . Find Jobs in Germany on Arbeitnow

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