
Geschätztes Netto
Monatlich netto nach Steuern und Sozialabgaben
€1,161/mo+
Zum SteuerrechnerErforderliche Skills
Stellenbeschreibung
AssetMetrix GmbH hat diese Anzeige veröffentlicht. Wir haben unten unseren eigenen Werkstudenten-Kontext ergänzt — was diese Stelle für deine Wochenstunden, dein Netto und dein Studierendenvisum als Studierende:r in Munich, Deutschland bedeutet.
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Beschreibung bereitgestellt von AssetMetrix GmbH
As a Working Student in AI Engineering, you support the development and operation of AI-powered products for the finance industry.
You work at the intersection of software, data, and AI — evaluating model performance, building automations, and contributing to scalable solutions for real-world use cases while gaining hands-on experience with modern AI technologies.
Evaluation & Data
- Build and run evaluation pipelines for LLM-based systems
- Analyze metrics, identify edge cases, and track quality
- Create and maintain Golden and Silver datasets
- Work with evaluation frameworks and tools (like Langfuse)
- Develop Python scripts for AI workflows (APIs, data processing, monitoring)
- Support maintenance and improvement of existing systems
- Work closely with engineering teams to improve system quality
- Contribute proactively to technical challenges
What You Bring
- Enrolled student in Computer Science, Data Science, or similar
- Solid Python skills beyond notebooks
- Experience with REST APIs (JSON, authentication)
- Basic ML understanding
- Git workflow experience
- Ability to critically evaluate AI outputs (both code and data)
- Problem-solving mindset
- Very good English knowledge, knowledge of German is an advantage
- Experience with LLM APIs (OpenAI, Anthropic)
- Vector databases (e.g. Qdrant)
- AI coding assistants
- Hands-on experience with modern AI systems
- Real impact on production use cases
- Exciting challenge in an open-minded, international team
- Good development opportunities and possibility of long-term cooperation even after graduation
- Flat hierarchies and short communication channels
- Attractive remuneration: 16 €/h
- Modern workplace in the heart of Munich with view of the Theresienwiese
- Hybrid working possible (office and home office alternately)
- Free drinks and fruit as well as an always well-filled ice box in summer
We want investors to be able to concentrate on the essentials: making the right investment decisions. For our clients, we therefore take on all administrative, reporting and analysis tasks in the asset classes of private equity, real estate and infrastructure. We are consistently using the opportunities offered by digitalization and modern technologies. Our constantly growing international team currently consists of more than 100 people.
We owe our success first and foremost to our employees who, with the highest standards in their own work, bring out the best in themselves every day. Would you like to become part of this dedicated team and use your passion to further our vision?
We pride ourselves on diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age or disability.
Wichtiges für Werkstudierende
Was diese Werkstudentenstelle im Bereich Tech in Munich für dich bedeutet — die Wochenstundenregeln, Vorteile bei den Sozialabgaben und worauf internationale Studierende vor der Bewerbung achten sollten.
Wochenstunden
Werkstudierende dürfen während des Semesters bis zu 20 Stunden pro Woche arbeiten, in den Semesterferien Vollzeit. Wer das einhält, behält den Studierendenstatus und die Werkstudentenvorteile.
Werkstudenten-RegelnSozialabgaben
Dank des Werkstudentenprivilegs zahlst du keine Beiträge zur Kranken-, Pflege- und Arbeitslosenversicherung — nur die Rentenversicherung greift. Dir bleibt mehr netto als in einem regulären Job.
Versicherung prüfenInternationale Studierende
Studierende von außerhalb der EU dürfen 140 volle oder 280 halbe Tage im Jahr arbeiten (seit März 2024, zuvor 120/240). Ein Werkstudentenvertrag passt meist in diesen Rahmen — prüfe die genauen Grenzen auf deinem Aufenthaltstitel.
Studieren in Deutschland