Role overview
We transform how companies work with data, preparing them for the future of artificial intelligence. With our expertise in data platforms and AI-powered solutions, we create measurable business value—always with a clear focus on strategy and impact.
Our projects range from global data platforms to cutting-edge Gen AI applications, directly contributing to the success of leading DAX-listed companies. By leveraging the latest technologies, we set new standards in digital transformation and collaborate closely with Microsoft, Databricks, and our KI Group ecosystem to develop sustainable and future-ready solutions.
Our culture is shaped by forward-thinking, curious, and open-minded professionals who actively shape the digital world. To maintain this dynamic environment, we place great value on diversity, innovation, and close teamwork. If you want to learn more about our culture and benefits, visit our careers page.
What you'll work on
- Design, build, and operate MLOps platforms on Azure for enterprise-scale AI systems
- Deploy, monitor, and manage AI/ML models in production, including LLMs
- Build and maintain MLOps pipelines covering training, deployment, versioning, and rollback
- Implement model monitoring, logging, performance tracking, and lifecycle management
- Integrate AI systems with Azure ML, Databricks, and secure permission/group management
- Collaborate closely with data engineers, AI engineers, and product teams
- Ensure reliability, scalability, and compliance of AI workloads in production
What we're looking for
- Experience with LLMs, GenAI, or AI agents in production
- Background in enterprise data platforms or large-scale analytics environments
- Familiarity with Microsoft Fabric and modern lakehouse architectures