Intern Data and AI Research & Development Digitalization

Life is always about becoming... In life it is about going on a journey to become the best version of our future self. As we discover new things, we face challenges, master them and grow beyond us.

Apply to Mercedes-Benz and find the area where you can develop your talents individually. You will be supported by visionary colleagues who share your pioneering spirit. Joining us means becoming part of a global team whose goal is to build the most desirable cars in the world. Together for excellence.

Number: MER00041K9 Mercedes-Benz Group AG is one of the most successful automotive companies in the world. With Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. Being part of Mercedes-Benz means finding the area where you can develop your talents individually. It means in a global car company that has the goal of building the most desirable cars in the world to give its best. You will be supported by visionary colleagues who share their pioneering spirit. Together for excellence. Our team Data & AI for RD (Research & Development) Digitization at Mercedes-Benz is driving the digital transformation in research and development. We use state-of-the-art technologies and innovative approaches to analyse large amounts of data and develop intelligent solutions. These challenges include: Data Engineering Analysis and processing of large and heterogeneous data volumes as a basis for machine learning and GenAI applications Data purification, transformation and modelling, mainly in Azure Cloud, in particular with Azure Databricks Agent Development (Multi-Agent Systems) Development of AI agents in the context of multi-agency frameworks Integration of tools and data sources to expand agent functions Evaluation of the response quality of agents with regard to correctness, relevance and consistency Semantic Modeling & Knowledge Graphs: Modeling of Knowledge Using Semantic Web Standards (RDF, OWL, SHACL) and Building Knowledge Graphs Use of semantic models as a structured knowledge base for GenAI applications and agents Cloud instance setup support Supporting the team in IT-related tasks, especially in the area of cloud services (mainly Azure), Docker Container and CI/CD Pipelines Working with innovative projects with the opportunity to introduce and implement their own ideas We look forward to your application and to shaping the future of mobility together with you! The activity can begin from June 2026.

Computer Science, Data Science, Mathematics, Engineering or Similar Secure knowledge of German and English in word and writing Experience in Data Engineering and Confidentiality with Tools like Azure Databricks Knowledge of programming languages and technologies such as Python, SQL, PySpark Basic knowledge of cloud technologies (especially Azure), containerization with Docker and CI/CD pipelines Ideally practical experience in Agentic AI and Knowledge Graphs (Semantic Web) Enthusiasm for innovative technologies and willingness to work on new topics Commitment and team skills Analytical thinking and strategic working Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate with a specification of the semester, if necessary. Compulsory internship certificate and proof of the regular study period. Please do not forget to mark your documents as ''relevant for this application' in the online form and note the maximum file size of 5 MB. Further information on the setting criteria can be found here. Disabled and equalized applicants are welcome! The severely disabled representative (sbv-sindelfingen@mercedes-benz.com) is happy to support you in the application process. HR Services will be happy to help you with questions about the application process. You can reach us by email via myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mo-Fr 10-12am & 13-15am).

Food supplements Employee handy possible Employee discounts possible Employee participation possible Staff Events Coaching Flexible working time possible Hybrid work possible Health measures Employment Mobility offers Parking space Business doctor Good connection Accessibility Child care Kantine, Café