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# Specialist Scientific IT

- **Company:** Deutsches Zentrum für Neurodegenerative Erkrankungen e.V.
- **Location:** Bonn, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Clusters, Cyber Security, Continuous Integration, Information Engineering, Data Governance, Privacy Controls, Explainable AI (XAI), Data Ingestion, Retrieval-Augmented Generation, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** October 6, 2026
- **Apply:** https://jobs.dzne.de/en/jobs/101647/apply

## About the Role

* A completed academic degree in computer science, data science, IT security, or related fields
 * Several years of experience in at least one of the aforementioned areas of focus, preferably in a research or HPC environment
 * Practical knowledge of container orchestration (Kubernetes), CI/CD, and modern AI frameworks.
 * Excellent command of German and English, as well as strong communication skills
 * A team-oriented approach and a willingness to learn new topics

## Description

You will support the Team Lead in implementing the AI strategy and assume operational responsibility for the assigned functional areas (MLOps, Data Engineering, Security, UX/Pedagogy).

Depending on your focus area, your responsibilities will include the following:

 * Design, implementation, and operation of MLOps frameworks (e.g., Kubeflow, MLflow)
 * Building and optimizing data pipelines for large biomedical datasets
 * Ensuring data protection and security standards are met in all AI processes
 * Developing user and training materials
 * conducting training sessions on AI and HPC topics. Working closely with researchers to integrate AI solutions into their workflows, * MLOps / Platform Engineering - Setting up and operating CI/CD pipelines, model deployment, and scaling to GPU clusters
 * Data Engineering / RAG Specialist - Development of data ingestion and retrieval-augmented generation workflows, data governance
 * Security / Privacy Engineering - Implementation of data protection and security measures, audits, compliance management
 * Product / UX / Pedagogy - Design of user-friendly AI tools, explainable AI concepts, internal training sessions and workshops