DevOps Engineer | f/m/d

The Big Data & Analytics Platform (BDAP) program is a comprehensive, multi-year initiative designed to establish and operate our enterprise analytics infrastructure. The program predominantly utilizes Microsoft Azure components and is deeply integrated into our broader enterprise environment. AI Services (AIS) are a BDAP offering for Machine Learning Operations (and GenAI/LLMOps scenarios in the near future) for internal customers. We are focusing on broad end-to-end Model Lifecycle support including automated, secure and compliant model operationalization, best practices for model development, training and validation, standard model monitoring, drift analysis and trustworthy AI options and transparent model governance capabilities. How you will get the job done  - planning and implementing automated pipelines, workflows and templates for MLOps on Databricks - extending an Unit, integrating tests and supporting continuous automation with test experts - ensuring Robust code development of good quality - active supporting of the Product Owner and Solution Architect for further product development - developing and optimizing ML/AI model lifecycle within Azure Databricks for end-to-end MLOps/LLMOps approach - collaborating with business units to integrate Databricks-powered AI solutions into workflows - proactive guiding and managing a development team