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,
SciPyscikit-learn
Pandas
OpenCV
3D/4D/nDdata processing
GPUprocessing
MLOps(MLFlow or Weights and Biases)
AWS(batch jobs, SageMaker AI, EC2, S3, EFS, CloudWatch etc.)
Niceto 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.

higher technical education (PhD in computerscience/statistics/mathematics will be an additional asset),
min. 3 years of experience in the area of ML,
very good knowledge of visualizationtechniques, data exploration and analysis (especially numerical and image),
knowledge in the field of statistics,mathematics,
knowledge in the field of machine learning(especially deep learning),
very good knowledge of neural networkarchitectures, including CNN, UNet,
good knowledge of Python,
very good knowledge of image processing,signal analysis and analysis of algorithms,
ability to efficiently implement and verifyliterature methods, in particular those related to machine learning,
understanding the advantages anddisadvantages of algorithms based on machine learning and the ability topresent developed solutions in a comprehensible and comprehensive manner,
independence, proactivity, openness tochange, communication skills, analytical thinking,
ability to effectively organize work andmanage time,
very good knowledge of English – min. C1.

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