Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Internship / school internship
- Location
- Sindelfingen
- Working Model
- Hybrid, Onsite
Job Summary
In this internship, you will develop AI-driven solutions, process large datasets in Azure, work on AI agents, and support the creation of knowledge graphs for innovative data projects.
Job Technologies
Your role in the team
- Our Data & AI team for RD (Research & Development) Digitalization at Mercedes-Benz is driving the digital transformation in research and development.
- We utilize cutting-edge technologies and innovative approaches to analyze large datasets and develop intelligent solutions.
- These challenges will come your way, among others:
- Data Engineering - Analysis and processing of large and heterogeneous data sets 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 within the context of multi-agent frameworks - Integration of tools and data sources to enhance agent functionalities - Evaluation of agents' response quality in terms of correctness, relevance, and consistency
- Semantic Modeling & Knowledge Graphs: - Modeling of knowledge using Semantic Web standards (RDF, OWL, SHACL) and development of Knowledge Graphs - Utilization of semantic models as structured knowledge bases for GenAI applications and agents
- Support in setting up the cloud instance - Assisting the team with IT-related tasks, especially in the area of cloud services (primarily Azure), Docker containers, and CI/CD pipelines - Contributing to innovative projects with the opportunity to bring in and implement your own ideas.
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Our expectations of you
Qualifications
- Degree in Computer Science, Data Science, Mathematics, Engineering, or a related field
- Proficient in spoken and written German and English.
- 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.
- Enthusiasm for innovative technologies and willingness to delve into new topics.
- Commitment and Teamwork
- Analytical thinking and strategic working approach
Experience
- Experience in Data Engineering and familiarity with tools such as Azure Databricks.
- Ideally, practical experience in the fields of Agentic AI and Knowledge Graphs (Semantic Web).
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What we offer
- The position can start from July 2026.
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Benefits
More net
- 🏝️Summer and Christmas Bonus
- 🍰Employee Stock Option
- 💻Company Notebook for Private Use
- 🚙Company Car
- 📱Company Phone for Private Use
- 🛍Employee Discount
- 👴🏻Company Retirement Provision
- 👷♂️Additional Insurance
Health, Fitness & Fun
Work-Life-Integration
- 🐕Animals Welcome
- 🏠Home Office
- 🍼Day Care for Kids
- 🅿️Employee Parking Space
- 🚌Excellent Traffic Connections
- ⏰Flexible Working Hours
Food & Drink
Topics that you deal with on the job
Job Locations
This is your employer
Mercedes - Benz AG
The Mercedes-Benz brand of automobiles is a registered trademark of Daimler AG. In 2016, sales of new vehicles reached 2.08 million. With business units including Mercedes-Benz Cars, Daimler Trucks, Mercedes-Benz Vans, Daimler Buses and Daimler Mobility, the company ranks among the leading providers of premium cars and is the world's largest commercial vehicle manufacturer.
Description
- Founding year
- 1926
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Vehicle Manufacturing, Supplier, Industry, Production
Dev Reviews
by devworkplaces.com
Total
(1 Review)Workingconditions
4.8Engineering
4.0Career Growth
4.8Culture
4.2
Intern Data and AI Research & Development Digitalization
- Location
- Sindelfingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
