At Mercedes-Benz, we don’t just build cars, we create great software. We develop tomorrow’s mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward. As a tech company, we are agile, innovative, and always keep our finger on the pulse of change. This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.
IT is our passion, and we move toward a bright future, sometimes quickly, sometimes creatively but always together.
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Design, develop, and deploy scalable AI applications leveraging Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.
Lead the end-to-end lifecycle of AI projects, including requirement analysis, solution architecture, development, testing, deployment, and ongoing optimization.
Build intelligent AI assistants, AI agents, domain-specific copilots, chatbots, and workflow automation solutions that deliver measurable business value.
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deliver complex machine learning pipelines across data preparation, model development, evaluation, deployment, and monitoring
perform applied research on deep learning models for medical image segmentation, detection, and classification across imaging modalities (e.g. radiographs, CBCT, volumetric data)
design rigorous evaluation frameworks by preparing clinically meaningful metrics and test sets
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