Marius Steger
Machine Learning Engineer at Renumics
Based in Karlsruhe, Germany
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Seniority
Staff
Department
Information Technology
Location
Karlsruhe
Industry
Software Development
Company size
6
Contact information
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m•••••••@renumics.com
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Background
About Marius Steger
As a Machine Learning Engineer with a strong full-stack mindset, I specialize in building robust, scalable AI systems – from backend infrastructure and ML pipelines to intuitive frontend interfaces. My current focus is on audio-based machine learning, industrial AI, and retrieval-augmented generation (RAG) systems using LLMs. I enjoy working across the full ML lifecycle: training models, deploying them in cloud environments (OpenShift, Azure), and building user-facing tools that make complex AI systems usable and impactful. At Renumics, I've developed production-grade systems that automate manual work by up to 80%, and contributed to open-source libraries for RAG interfaces. I’m particularly interested in human-in-the-loop systems, data-centric workflows, and applied AI in technical domains. I also actively contribute to open-source RAG tooling and enjoy exploring data analytics, ethical ai, and digital product design – always looking to learn and build meaningful things.
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