Andersen is hiring an ML/MLOps Engineer in Germany for a project building a cloud-native AI platform and delivering scalable machine learning solutions for the healthcare industry.
Our customer is a European service provider operating in the healthcare sector. The company delivers consulting, digital solutions, data-driven services, and operational support that help healthcare organizations improve efficiency, optimize processes, and enhance service quality. Combining industry expertise with modern technologies, it enables organizations to streamline operations, manage resources effectively, and adapt to evolving healthcare needs.
The project is focused on building a cloud-native MLOps platform for the healthcare sector to support large-scale machine learning and AI workloads. It includes developing ML infrastructure based on Kubeflow, enabling LLM fine-tuning, traditional machine learning, and scalable data processing in a secure, zero-trust environment.
