(Senior) AI Engineer / MLOps Engineer (m/f/d)

• Lead our Machine Learning Operations (MLOps) processes, building and maintaining the infrastructure that keeps our AI systems reliable, scalable, and secure.
• Bridge the gap between AI engineering and business value by aligning technical initiatives with customer needs, supporting sales and product discussions, and driving measurable impact for our clients.
• Collaborate closely with our engineering and product team to design and implement advanced features for our AI-driven supply chain operating system and to ensure smooth integration of machine learning models and data pipelines into production systems.
• Guide and support the work on improving the accuracy, efficiency, and uncertainty estimation of our existing AI-based features and conduct rigorous testing to ensure their high quality and reliability.
• Contribute to the scalability, maintainability and core functionality of our AI solutions and be part of building new ones.
• Establish and uphold high standards in our engineering practices, tooling, and processes.

What you'll find with us

• Real ownership instead of micromanagement. You shape, you decide, and you see the impact of your work directly in the market.
• Direct line to founders and leadership. Flat hierarchies are our everyday reality – short paths, fast decisions.
• AI-First workflow. Copilot, Claude, Cursor & co. are standard tools for us. We expect and support their use.
• Hybrid work with an office in the heart of Munich, just around the corner from Theresienwiese. Flexible setup with regular office presence – because we believe the best ideas happen in person.
• EGYM Wellpass or BahnCard, corporate benefits, team events, annual offsites.
• Fair, competitive compensation.

• Bachelor's or Master's degree in Engineering or a related field.
• Proven experience in MLOps, including end-to-end machine learning lifecycle management and 5+ years of experience with natural language processing, and image processing techniques.
• Passionate about developing AI solutions, particularly in generative AI combined with OCR and strong customer centric thinking, in order to prioritize the generated customer value as high as the quality of the cutting-edge solutions.
• Strong proficiency in Python and Azure, with experience in AI frameworks and libraries. Experience in Terraform is nice to have. 
• Demonstrated ability to write clean, reusable, and well-tested code.
• Leadership experience, either technical or disciplinary, is a plus.
• Strong problem-solving skills and enthusiasm for tackling challenging customer issues.
• Fluency in English with strong reading comprehension in German (B2 level or higher) required.