Successfully completed studies in (business) informatics, data science, artificial intelligence or a comparable qualification or relevant practical experience.
Excellent programming skills in Python as well as experience with modern software engineering practices (Git, CI/CD, Testing).
Experience with PyTorch, Transformers, NumPy, Pandas and common computer vision libraries.
Knowledge in the areas of bounding boxes, instance and semantic segmentation.
A structured and analytical approach to work, as well as enjoyment in solving complex problems.
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