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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: MER00042Y3 Our company is looking for a dedicated working student who supports our team in the field of maintenance engineering in the development of modern data and AI-based solutions – with a special focus on Applied AI, intelligent assistance systems and industrial knowledge systems. As a working student, you will be given the opportunity to participate in innovative future topics in the industrial environment and to apply your theoretical knowledge from your studies directly in practical projects. The focus is on the collaboration of intelligent digital assistance solutions for industrial maintenance and production environment. These include modern approaches from GenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), industrial knowledge systems and intelligent processing and use of technical knowledge and maintenance data. You work on innovative AI and assistance solutions in an industrial context in a dynamic and technology-oriented environment. You will gain insight into the design and development of modern AI-based knowledge and support systems for intelligent provision of technical information and solutions. Whether the structured processing of technical knowledge sources, the linking of different sources of information and data or the participation in modern AI solutions – you will be actively involved in the development of innovative future technologies for industrial maintenance. Our friendly and supportive working environment promotes creativity, initiative and interdisciplinary cooperation. If you are curious, learning and technology-enhancing and want to actively participate in future-oriented AI and digitalization solutions, you are right with us. We look forward to meeting you and developing innovative solutions for tomorrow's production together! About us: We, the Maintenance Engineering, are a dynamic and committed team that deals with pioneering topics such as industrial maintenance, digitalization, artificial intelligence and intelligent assistance systems. The specialist focus is on organisational control and maintenance systems within highly automated production environments. Together with the local maintenance teams and production, we develop modern data and AI-based solutions to support efficient and stable production processes. Our tasks include the further development of digital systems and intelligent assistance solutions for industrial maintenance. Among other things, we are concerned with the intelligent use and linking of technical knowledge sources, historical maintenance information as well as modern software and AI technologies in the production environment. A special focus is on the development of data and AI-based assistance systems to support technical support, analysis and maintenance processes within highly automated production environments. The aim is to make relevant technical knowledge available efficiently, to make complex relationships understandable and to intelligently support technical decision-making processes. We are working on innovative solutions in the environment of modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent knowledge systems and data and context-based support systems for industrial applications. The digital transformation and the intelligent linking of production processes, maintenance systems, technical knowledge sources and modern AI technologies are at the heart of our work. The ideal opportunity for IT, data and AI-affine talents is to gain practical experience in modern industrial AI and digitalization solutions and to actively shape innovative future topics in the production environment. Your tasks – These exciting topics await you: AI-based assistance systems and industrial knowledge systems: Working with modern AI-based assistance systems for industrial maintenance

Support in the development of intelligent knowledge and support systems in the industrial environment

Participation in structuring, processing and intelligent use of technical knowledge and maintenance data

GenAI, LLMs and RAG technologies: Working with modern technologies in the field of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and intelligent assistance systems

Support in the development of data and AI-based solutions to support technical support and analysis processes

Support in the intelligent linking of technical information and different sources of knowledge

Data and information processing in the industrial context: Support in the processing and analysis of technical and historical maintenance information

Working together with engineering and maintenance teams on technical faults, causes and process analyses

Support in structuring and processing of technical information for modern AI systems

Cooperation and innovation: Close cooperation with interdisciplinary teams from maintenance, production, digitalization and AI experts

Own takeover of small work packages and active participation of innovative future topics in the field of industrial AI

We offer you: Insights into modern industrial AI, gene AI and digitalization solutions

Working with innovative intelligent assistance and knowledge systems in the industrial environment

Practical experience in Applied AI, industrial knowledge systems and modern AI technologies

A very dynamic and technology-oriented working environment

The opportunity to get to know and actively shape modern future technologies

Support by a dedicated team and a personal mentor

Flexible working hours for compatibility with the study

Appropriate remuneration

The activity can begin from July 2026.

Technical course in the field of applied artificial intelligence, computer science, data science or software engineering

Good practical programming skills in Python and basic knowledge in SQL

First practical experience in AI, software or data-driven projects, e.g. in the university, private or professional environment

Basic understanding of modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) or intelligent assistance systems

Good knowledge of machine learning and statistical modeling are desirable

Experience in handling data structures, technical information or knowledge-based systems

Basic knowledge in data analysis, data processing and structured information processing

Knowledge of how to use APIs, databases or interfaces is advantageous

First experiences with development environments and tools such as Azure Databricks, Git, Jupyter Notebook, VS Code or comparable technologies are desirable

Technical understanding and the ability to grasp complex technical relationships

Ability to work independently on technical topics and complex relationships

Analytical and structured working methods as well as pronounced problem solving capabilities

Technical understanding and interest in industrial processes and maintenance systems

Individual initiative, team skills, willingness to learn and enjoy work in a dynamic environment

Very good communication skills

Very good knowledge of German and good knowledge of English in word and writing

Additional information: We are looking forward to your online application with CV, lettering, certificates, current enrollment certificate, giving the semester 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).

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