Machine Learning Engineer
Technologie
Ubique SystemsMünchen, 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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