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Machine Learning Engineer

Technologie
Ubique Systems
München, DeutschlandVor 1 MonatenBis 24.5.2026
VertragHybrid

Stellenbeschreibung

Greetings from Ubique Systems!!!

We are looking for a Machine Learning Engineer for one of our customer who has an expertise in:-

Experience in building and applying ML (not hosted LLM) systems with frameworks such as PyTorch, TensorFlow, JAX

  • Experience in building training data processing pipelines for image data
  • Experience in in MLOps lifecycles (model training, model validation, model deployment, quality monitoring) *Though we would also consider similar experiences to the above, for instance building data processing pipelines for proteomics data instead of image data, etc.
  • Python (excellent, required) - Software engineering best practices, the aim of writing high performant, modern, bug free code, proper documentation of code, unit-testing, code quality, etc. (required)
  • PyTorch (required good working knowledge)

Desirable Skills or Experiences

  • TypeScript/Node/JavaScript (desirable)
  • Experiment tracking platforms such as Weights & Biases, MLFlow (past experiences)
  • Processing platforms, such as Kubeflow (optional)
  • Computer Vision problems (recommended), e.g. experience with OpenCV (optional)
  • Cloud computing infrastructure, in particular AWS (recommended)
  • Working in a regulated environment, developing code under pre-set regulatory rules (nice to have)

Employment type:- B2B Contract.

It would be hybrid working in Munich area only.

Note:-Only apply if you have valid visa in the EU Region, Sponsorship will not be given.

Keywords
TensorFlowOCamlPyTorchCloud computingTypescriptNode.jsKubeflowJavaScriptPythonUnit TestingOpenCVNodeAWSSoftware EngineeringSoftware bug

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