Senior Machine Learning Engineer

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 (MLFlow 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.

• higher technical education (PhD in computer science/statistics/mathematics will be an additional asset),
• min. 3 years of experience in the area of ​​ML,
• very good knowledge of visualization techniques, 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 network architectures, including CNN, UNet,
• good knowledge of Python,
• very good knowledge of image processing, signal analysis and analysis of algorithms,
• ability to efficiently implement and verify literature methods, in particular those related to machine learning,
• understanding the advantages and disadvantages of algorithms based on machine learning and the ability to present developed solutions in a comprehensible and comprehensive manner,
• independence, proactivity, openness to change, communication skills, analytical thinking,
• ability to effectively organize work and manage time,
• very good knowledge of English – min. C1.