Software Developer – Data Analytics & AI (w/m/d)

TÜV SÜD has been standing for safety, quality and sustainability since 1866 and is today an international service group with more than 28,000 employees worldwide. Independently and objectively, TÜV SÜD ensures consumer confidence. TÜV SÜD Digital Service GmbH supports TÜV SÜD with digital solution competence to drive the digital transformation of the Group. The aim is to develop corresponding products and services for existing and new business areas. If you want to shape the future with us, we look forward to your application at our Munich location.

Implementation of Data Analytics & AI solutions to support the TüV SüD business areas, focusing on document and text analysis Programming of backend and frontend of the solutions incl. Application of Current Data Science Methods, especially in Machine Learning, Artificial Intelligence and Large Language Models Participation in the entire development cycle of solutions under the perspective of software development, including transition to operation and support of existing solutions Ensuring performant implementations and uniform scalable software architectures as well as consulting and support for other team members Close cooperation in agile teams with project managers, data scientists, DevOps Engineers and specialist experts

Successfully completed study of computer science or comparable qualification At least two years of professional experience in software development with Python to realize Data Analytics & AI solutions Knowledge of methods and frameworks of professional software development and architecture Experience in the use of MS Azure and Azure DevOps as well as knowledge in the field of current data science methods of advantage Very good knowledge of German and English in word and writing And above all: enthusiasm to advance the use of data analytics and AI in the TÜV SÜD!

Occupational pension Canteen or food supplement Flexible working time good transport connection Applications for people with disabilities are expressly desired and are considered preferred if they are otherwise essentially of the same suitability. .