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AI Engineer - Model Training & Deployment

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AI Engineer - Model Training & Deployment in Others new

  • Munich, Germany

Responsibilities

  • Train and implement deep learning models for a robotics product.
  • Iterate on model architectures and training pipelines to improve real-world performance.
  • Deploy trained models to production, customer, and edge environments.
  • Collaborate with the ML and robotics team on the technical roadmap.
  • Design and run reproducible experiments using measurable evaluation metrics.
  • Contribute to deploying models in on-site customer and edge settings.

Requirements

  • At least 1 year of hands-on experience training deep learning models using Python and PyTorch through academic projects, a thesis, or industry work, with documented results and evaluation metrics.
  • Proficiency in Python and PyTorch for model development.
  • Experience with Docker, Linux, and command-line environments.
  • Experience deploying trained models to production or customer environments.
  • Familiarity with Slurm or similar cluster job scheduling systems.
  • Experience with ONNX or similar model export and interoperability tools.
  • Interest in edge and on-device deployment.
  • Background or strong interest in computer vision, robotics, or physical systems.
  • Familiarity with data versioning tools such as DVC.
  • Strong analytical skills and rigorous, reproducible experimentation habits.
  • Fluency in English; German language skills are a plus.

Benefits

  • Fully on-site work in Munich, Bavaria, Germany.
  • Visa sponsorship is not available; candidates must already be eligible to work in Germany.

Clera

Clera harnesses the power of artificial intelligence to match high-growth startups with exceptional talent, streamlining the entire headhunting process. This innovative approach simplifies the job search for candidates while providing startups with access to a curated pool of skilled professional...

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