Data Science, GenAI and NLP Expert; m/f/d
Listed on 2026-03-01
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Location: Germany
Data Science, GenAI and NLP Expert (m/f/d)
Posted on: 25 Feb, 2026 Application by: 11 Mar, 2026 Project status:
Ongoing project Project title:
Data Science in the GenAI team, consulting and support services in the field of data science and AI
Country:
Germany Workplace:
Hybrid Job code: 39503
Artificial Intelligence (AI) is rapidly transforming the public sector by enabling more efficient, transparent, and citizen-centric services. Governments and public institutions are increasingly leveraging AI technologies, including Machine Learning, Natural Language Processing (NLP), and Generative AI, to modernize administrative processes, enhance decision-making, and improve service delivery.
A particular emphasis lies on deploying AI systems in compliance-sensitive set-tings, where transparency, data protection, and low error tolerance are critical. This requires not only technical excellence but also a deep understanding of governance frameworks, regulatory requirements, and ethical AI principles.
We are looking for German-speaking experts in selected AI subfields. To better support upcoming projects, we are building a curated expert pool of professionals, who are interested in collaborating and could potentially support us in various AI and NLP-related initiatives.
Qualifications- Important requirement:
German language proficiency at C1/C2 level - Extensive expertise in Machine Learning, with a strong focus on Generative AI and Large Language Models
- Practical experience with document-based workflows, particularly in regulated, low-error environments (e.g., finance, pharma)
- Deep methodological understanding of Agentic AI and hands-on experience with relevant frameworks (e.g., Lang Graph, llama-agents)
- Very strong Python programming skills
- Solid experience in Python-based software development
- Experience with Azure AI Services (e.g., AI Search, Azure OpenAI) is a plus
- Experience provisioning cloud infrastructure using Infrastructure as Code (e.g., Terraform) is desirable
- Project experience working with Scrum as well as Azure Dev Ops / Azure Services is beneficial.
If you are interested in this opportunity please submit your application via the "apply" button.
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