Deadline:
As soon as possible
Location(s)
Germany
Stuttgart
Overview
Details
What this is about
Data and AI have the highest strategic priority for us at Mercedes-Benz to be prepared for tomorrow's challenges. Join us in shaping the future of After-Sales by designing and implementing innovative AI and data solutions with real business impact.
Your tasks
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Collaborate with experienced Data & AI architects and contribute to strategic architecture initiatives in a global enterprise environment:
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Support architecture discussions, workshops and decision-making processes
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Create stakeholder-ready presentations and architecture artefacts
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Help drive Data & AI governance and architecture initiatives
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Collaborate with engineering, business and data teams across the organization
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Own and deliver an independent deep-dive project with a focus on both architecture and implementation (topic to be selected during the interview process or at the start), e.g.:
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Automation of knowledge bases using LLM-based approaches
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Automation in metadata management / data governance
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AI-supported alerting automation for portfolio management
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Opportunity is About
Eligibility
Candidates should be from:
Description of Ideal Candidate
Your profile
- Studies in Computer Science, Industrial Engineering, Business Informatics, Data Science, AI/Machine Learning — ideally with a focus on ML/AI or Data Engineering
- Solid command of Python
- Experience with Git/GitHub
- Hands-on experience with AI technologies and LLMs (e.g. via APIs, LangChain, etc.) is a plus
- Experience with Databricks is a plus, but not required
- Architecture/implementation experience from studies, open-source, or hobby projects is sufficient — no professional experience required
- Interest in responsible AI, governance and emerging AI regulations (e.g. EU AI Act)
- Strong communication skills, ability to work independently, curiosity for new topics
- Very good English skills - German is a plus
Dates
Deadline: As soon as possible
Cost/funding for participants
What we offer
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The opportunity to work on one of Mercedes-Benz's strategic Data & AI initiatives
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Direct exposure to enterprise-scale AI and data architecture
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Ownership of a meaningful project with visible business impact
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Mentoring from experienced Data & AI Architects
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Insights into modern technologies such as AI, Databricks and cloud-based data platforms
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Opportunity to build a professional network across business and technology domains
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A collaborative and innovative team culture with room for your own ideas
Un-save Opportunity
Internships, scholarships, student conferences and competitions.
