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Graylight Imaging Sp. zo.o.

Senior Machine Learning Engineer

Graylight Imaging Sp. zo.o. Alle Angebote ansehen
Praca zdalna
vor 27 Tagen

Kurzfassung

Senior Machine Learning Engineer role. Focus on image data analysis from a new industry, applying medical project know-how. Requires Python, PyTorch, NumPy, SciPy, scikit-learn, Pandas, OpenCV, 3D/4D/nD data processing, GPU processing, MLOps, and AWS. Hybrid work, professional development budget, and health insurance offered.

Von KI erstellte Kurzfassung des Anzeigentextes.

Who are we looking for?

We are looking for a Senior Machine Learning Engineer to join our team.

On a daily basis, you’ll work with Senior Machine Learning Engineers, a Machine Learning Architect, and a client based in the U.

S. About the project: We’re applying our know-how and experience from medical projects to image data from a completely different industry—a major challenge, but also an incredibly interesting project in which we’ve already achieved significant success! :)

Technology stack

  • Python
  • Pytorch, Numpy,
  • SciPy scikit-learn
  • Pandas
  • OpenCV
  • 3D/4D/nD data processing
  • GPU processing
  • MLOps (ML

Flow or Weights and Biases)

  • AWS (batch jobs, SageMaker AI, EC2, S3, EFS, CloudWatch etc.)
  • Nice to have: ITK/VTK/PyVista, jupyther notebook

What will You find here?

  • fascinating projects—you can have a real impact on people’s health and lives,
  • high technical standards in our projects—you’ll really spread your wings here,
  • great people with a proactive approach to work,
  • events and team-building activities—we enjoy spending time together😊,
  • a professional development budget,
  • group insurance,
  • medicover health insurance,
  • hybrid work arrangements and flexible hours,
  • the opportunity to collaborate with the scientific community on an ongoing basis and publish in scientific journals

About the Company:

At Graylight Imaging, we develop technologies for the medical field, with a particular focus on analysing medical imaging studies. In addition to commercial projects, we conduct our own R& D, building machine learning algorithms for cardiology. As a member of our team, you’ll contribute to solving problems that no one has solved before, with the goal of tangibly improving people’s health and lives.

Veröffentlicht 2026-10-07
Quelle