What makes you stand out You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.You are proficient with CI/CD tools (e.g., Azure DevOps), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.You possess excellent English communication skills, both written and spoken; German language skills are considered a plus.
Clinical and market insight: Collect product performance and user feedback for R&D, MACA, and commercial teams to inform life cycle management, next-generation innovations, clinical study designs, and commercial strategies. Share insights, best practice, and data with national and regional MSL networks. Cross-functional collaboration and influence: Partner with internal cross-functional teams, including MACA, R&D, Regulatory, Marketing and national Market Access, to ensure integration of insights into our strategies.
Work with other DHL divisions for end-to-end supply chain solution design Work with internal departments such as Product, Finance, First Choice to satisfy customers’ needs and make sure service is provided effectively.
You will support the automation analyst and designer during the technical generation and implementation phase, as well as supporting change management activities within the business function before and after go-live.