Description
The role builds and operates highly automated enterprise machine-learning environments and workflows, from concept through deployment, monitoring, and continuous retraining. It influences DevOps/MLOps architecture, optimizes data and machine-learning toolchains, and supports Data Scientists, Data Engineers, and software developers. The position requires a STEM degree, several years of Big Data, cloud, and machine-learning experience, expertise with CI/CD, configuration management, monitoring, Kubernetes, Kafka, and ELK, strong German and English communication skills, and willingness to travel.
