Data Science, GenAI and NLP Expert

GFA Consulting Group
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German

Job location

Tech stack

Artificial Intelligence
Azure
Cloud Computing
Python
Machine Learning
Scrum
Software Engineering
Large Language Models
Generative AI
Terraform

Job description

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.

Requirements

Do you have experience in Terraform?, * 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., LangGraph, 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 DevOps / Azure Services is beneficial.

About the company

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.

Apply for this position