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2 software engineer jobs found in Dortmund

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BFS Health Finance GmbH
16/05/2026
Full time
AI Engineer (m/w/d)
BFS Health Finance GmbH Hülshof 24, 44369 Dortmund, Huckarde, Germany
Do you want to be at the forefront of AI development with us and shape the integration of modern AI models into the BFS system landscape from scratch? Then apply now! We are looking for support as AI Engineer (m/w/d) (permanent, full-time) at the Dortmund location with the possibility of 80% mobile office Your tasks: Design instead of manage:   Develop, train and deploy robust machine learning and deep learning models – e.g. for risk classification, document analysis or predictive analytics. Pure innovation:   Build AI-based knowledge databases, chatbots and automation solutions – from Azure OpenAI to LangChain to RAG systems – and ensure stability and performance. Data Engineering meets AI:   Design efficient data pipelines and workflows for OCR, NLP and more, and bring them productively into our landscape. Always ahead:   Evaluate, integrate, test – you bring new AI technologies, frameworks and platforms (Azure AI Services, Hugging...
KOSTAL Automobil Elektrik GmbH & Co. KG
27/04/2026
Full time
Machine Learning Engineer / Edge-ML Automotive (m/w/d/kA)
KOSTAL Automobil Elektrik GmbH & Co. KG Dortmund, Germany
We are the KOSTAL Group, a globally operating, independent family business headquartered in Germany, developing and producing technologically sophisticated electronic and mechatronic products. More than 20,000 employees work flexibly, competently, and with a customer-centric approach at 64 locations in 22 countries. The KOSTAL Automotive Electrical division develops and produces power electronics for electromobility, control units for comfort electronics, and user interfaces ranging from turn signal switches to touchscreens. Job description Development of robust ML algorithms for intent/gesture recognition based on vehicle-side sensor data (e.g., UWB radar), including real-time inference on edge ECUs. End-to-end ownership of the ML pipeline: data acquisition on the prototype vehicle, ground truth/labeling, feature engineering, model training (PyTorch), experiment tracking (MLflow), model versioning and ensuring reproducibility Edge deployment:...
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