Become the MLOps and DevOps expert in the eHealth sector while working on exciting projects, Acquire important knowledge and skills through practical application, Work together with ML Engineers and Data Scientists to enable the smooth development of ML-based software, Take responsibility in the MLOps workflow, especially Unit, Integration, System and Performance Testing, Product Releases and (automated) Deployment of the software in the production environment at our medical partners, Design continuous, automated monitoring for the surveillance of the Deployment Pipeline and ML models in the sense of Post-Market Surveillance, Actively design and improve our IT infrastructure, IT security and ML environment, from servers to tooling, Learn to implement regulatory requirements for software as a medical device together with the Regulatory Affairs and Quality Team, Monitor the Deployment Pipeline, Communicate with external partners and customers