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As a (Senior) AI / MLOps Engineer, you’ll design the backbone of our AI ecosystem — turning advanced machine learning into tangible customer value. You’ll collaborate across engineering and product to bring scalable, high-performing AI features into production and help shape the future of intelligent supply chains. If you’re passionate about reliable AI with real-world impact, this is your place.
Activities
- 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 implementadvanced 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.
Requirements
- 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 processingtechniques.
- 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.
- Proficiency in programming languages used in AI development, such as Azure and Python, and familiarity with AI frameworks and libraries.
- 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.
Application Process
- Discovery Call
- Video-Interview
- Coding challenge
- Meet the Team