Job
- Level
- Senior
- Location
- Bonn
- Working Model
- Hybrid, Onsite
- Job Field
- IT, Data, Security
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you will be responsible for MLOps, data engineering, and security in AI projects, developing models, optimizing data pipelines, and creating user-friendly AI tools for researchers.
Job Technologies
Your role in the team
- You support the Team Lead in implementing the AI strategy and assume operational responsibility for the assigned functional areas (MLOps, Data Engineering, Security, UX/Pedagogy).
- Your responsibilities include, depending on the focus, these topics:
- Design, implementation, and operation of MLOps frameworks (e.g., Kubeflow, MLflow)
- Development and Optimization of Data Pipelines for Large Biomedical Datasets
- Ensuring data protection and security standards in all AI processes
- Creation of user and training materials; conducting training sessions on AI and HPC topics
- Close collaboration with researchers to integrate AI solutions into their workflows
- You will take on focus areas depending on your experience and interests:
- MLOps / Platform Engineering - Building and Operating CI/CD Pipelines, Model Deployment, Scaling on 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
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Our expectations of you
Education
- Completed university degree in Computer Science, Data Science, IT Security, or related fields
Qualifications
- Practical knowledge of container orchestration (Kubernetes), CI/CD, and modern AI frameworks
- Excellent German and English skills as well as strong communication abilities
- Team-oriented working style and willingness to familiarize oneself with new topics
Experience
- Several years of experience in at least one of the mentioned focus areas, preferably in research or HPC environment
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What we offer
- Our Bonn employees enjoy a campus in the heart of nature, with parking facilities and public transport connections on site, as well as an attractive canteen offering.
- Through forward-looking infrastructure, modern laboratory and office equipment, software tools, and the opportunity for international exchange with people from 65 nations.
- We balance work and private life with flexible working hours, 30 days of vacation (plus additional days off on Christmas Eve and New Year's Eve), as well as subsidized job/Deutschlandticket options.
- The work location is Bonn, and up to two days of remote work per week are possible upon agreement.
- Because we know that family is important, we support with our family service.
- Our comprehensive range of corporate health initiatives, in collaboration with the Sozialwerk.Bund.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Deutsches Zentrum für Neurodegenerative Erkrankungen e.V.
The DZNE is a research institute that studies neurodegenerative diseases as part of the Helmholtz association. Its mission is to understand the causes and risk factors of neurodegeneration and to develop new therapeutic and health care strategies. In order to promote high quality research in the field of neurodegeneration, the DZNE closely collaborates with its partner Universities.
Description
- Founding Year
- 2009
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector, Science, Research
Senior Specialist Scientific IT
- Location
- Bonn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
