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.
To ensure through the process of implications counselling that all couples are aware of the risk of iatrogenic disease such as ovarian hyper-stimulation, multiple pregnancy (with risk of prematurity and death) and the complex issue of research on gametes/embryos and the ethical and moral issues that this raises.
To ensure through the process of implications counselling that all couples are aware of the risk of iatrogenic disease such as ovarian hyper-stimulation, multiple pregnancy (with risk of prematurity and death) and the complex issue of research on gametes/embryos and the ethical and moral issues that this raises.
To ensure through the process of implications counselling that all couples are aware of the risk of iatrogenic disease such as ovarian hyper-stimulation, multiple pregnancy (with risk of prematurity and death) and the complex issue of research on gametes/embryos and the ethical and moral issues that this raises.