Tätigkeitsbereich:Forschung & Entwicklung incl. DesignFachabteilung:PDx Processes, Quality & MethodsGesellschaft:Mercedes-Benz AGStandort:Sindelfingen, Benzstr.Startdatum:..6Veröffentlichungsdatum:..6Stellennummer:MERQOArbeitszeit:Teilzeit BewerbenAufgaben
We are looking for a dedicated AI Engineer who will play a significant role in shaping and optimizing our chatbot. You will play a key role in developing intelligent data management solutions and advanced Conversational AI systems. Gain valuable practical experience with us in product data management and get many insights into state-of-the-art technologies!
These challenges await you:
1. Design, implement, and manage document embedding storage solutions
2. Develop and optimize processes for efficient information extraction from documents, including handling complex nested structures, to create
3. and populate databases for our advanced chatbot applications
4. Contribute to the development and deployment of RAG-systems, leveraging tools like LangChain to orchestrate complex AI workflows and ensure accurate, contextually relevant responses
5. Explore, implement, and contribute to multi-agent frameworks for building sophisticated AI applications
6. Utilize Databricks and Microsoft AI Foundry for data processing, model training, deployment and AI workflows
7. Employ MLflow for experiment tracking, model management, and reproducible machine learning development
8. Write clean, efficient, and well-documented code primarily in Python and SQL
The position can start from June 6.
Qualifikationen
9. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a comparable field of study
10. Good programming skills in Python, including experience with relevant AI/ML libraries
11. Experience in SQL for effective database management
12. Experience with RAG systems, including concepts such as embedding generation, vector databases, and retrieval capabilities
13. Experience with LangChain for building LLM-powered applications
14. Experience with MLflow for managing the ML lifecycle
15. Knowledge of multi-agent frameworks and their application in developing autonomous and collaborative AI systems
16. Knowledge of document embedding techniques and information retrieval methods
17. Experience or a good theoretical understanding of the Databricks platform and Microsoft AI Foundry for data engineering and ML is a plus
18. Proactive and curious mindset
19. Ability to work effectively in a team
20. English is mandatory, German is a plus
Additional Information:
We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as "relevant for this application" in the online form and observe the maximum file size of 5 MB.
You can find further information on the hiring criteria .
Benefits Essenszulagen Mitarbeiterhandy möglich Mitarbeiterrabatte möglich Mitarbeiterbeteiligung möglich Mitarbeiter Events Coaching Flexible Arbeitszeit möglich Hybrides Arbeiten möglich Gesundheitsmaßnahmen Betriebliche Altersversorgung Mobilitätsangebote
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