The Mercedes-Benz Group AG is one of the world's most successful automotive companies. With Mercedes-Benz AG, the vehicle manufacturer is among the largest providers of premium and luxury passenger cars and vans.
Becoming part of Mercedes-Benz means finding the role where you can develop your individual talents. It means giving your best in a global automotive company that aims to build the most desirable cars in the world. You will be supported by visionary colleagues who share their pioneering spirit. Together for excellence.
Our Data & AI for RD (Research & Development) team at Mercedes-Benz is driving digital transformation in research and development. We use state-of-the-art technologies and innovative approaches to analyze large data sets and develop intelligent solutions.
These are some of the challenges you will face:
Data Engineering
- Analysis and processing of large and heterogeneous datasets as a basis for machine learning and GenAI applications
- Data cleansing, transformation, and modeling, primarily in the Azure Cloud, especially with Azure Databricks.
Agent Development (Multi?Agent Systems)
- Development of AI agents in the context of multi-agent frameworks
- Integration of tools and data sources to extend agent functionality
- Evaluation of the response quality of agents with regard to correctness, relevance and consistency
Semantic Modeling & Knowledge Graphs:
- Modeling knowledge using Semantic Web standards (RDF, OWL, SHACL) and building knowledge graphs
- Using semantic models as a structured knowledge base for GenAI applications and agents
Support with setting up the cloud instance
- Supporting the team with IT-related tasks, especially in the area of ??cloud services (primarily Azure), Docker containers and CI/CD pipelines.
- Participation in innovative projects with the opportunity to contribute and implement your own ideas.
Mercedes-Benz look forward to receiving your application and to shaping the future of mobility together with you!
The work can begin from July 2026.
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Mercedes-Benz Intern Internship
Aim and Benefits of Mercedes-Benz Intern Internship
- Meal allowances
- Employee mobile phone possible
- Employee discounts possible
- Employee participation possible
- Employee events
- Coaching
- Flexible working hours possible
- Hybrid working is possible
- Health measures
- Company pension scheme
- Mobility offers
- Parking
- Company doctor
- Good transport connections
- Accessibility
- Childcare
- Canteen, café
Start date: 15.07.2026
Requirements for Mercedes-Benz Intern Internship Qualification
- Degree in Computer Science, Data Science, Mathematics, Engineering or similar
- Fluent German and English skills, both spoken and written.
- Experience in data engineering and familiarity with tools such as 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 the areas of Agentic AI and Knowledge Graphs (Semantic Web)
- Enthusiasm for innovative technologies and a willingness to learn about new subject areas
- Commitment and teamwork
- Analytical thinking and strategic working methods
Application Deadline
Not SpecifiedHow to Apply
Interested and qualified? Go to
Mercedes-Benz on tas-daimler.taleo.net to apply
Contact: Matthias Schmitz
For more information, kindly visit Mercedes-Benz Internship webpage.