Machine Learning Engineer


Job description

What You Will Enjoy Doing

  • You will develop, train, test and deploy machine learning models in various fields (computer vision, NLP, tabular and time series data…)
  • Your main task will be to investigate novel deep learning based technologies (self-supervised learning, generative AI…) and bring them to production
  • Further you are responsible for setting up the MLOps infrastructure for existing and new AI products
  • You will work directly with customer data and set up data pipelines to collect, curate, transform and version data


What Makes You Great

  • You graduated from a M.Sc. program in computer science or equivalent
  • You have experience in training and deploying neural networks and have practical hands-on experience with deep learning frameworks like PyTorch and Tensorflow
  • Having experience in backend and API development with Python (FastAPI, Flask) or similar is part of your profile
  • You demonstrate excellent knowledge of and practical experience with Object Oriented Programming, design patterns, algorithms and data structures, version control systems (e.g. Git)
  • You have gained experience with cloud platforms (e.g. Azure) and Docker. Kubernetes is a plus



Hybrid 2 x week on client office



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