Senior Specialist Scientific IT (f/m/x)

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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
  

• 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

Your role in cutting-edge research

You will take on specific focus areas based on your experience and interests:

• 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

• A feel-good working environment:

  Our Bonn employees enjoy a campus surrounded by greenery, with on-site parking and public transport connections as well our company restaurant

• Innovation and internationality:

  A forward-looking infrastructure, modern laboratory and office equipment, software tools and the opportunity for international exchange with your colleagues from 65 nations

• Work-life balance:

  We reconcile work and private life with flexible working hours, 30 days' holiday (On top free on Christmas Eve and New Year's Eve) and subsidised job/ Germany ticket options

• Möglichkeit Mobiles Arbeiten:

  The position is based in Bonn, and up to two days of remote work per week are possible upon agreement.

• Family-conscious corporate culture:

  Because we know that familie is important, we support you with our family service

• Health promotion:

  Through our extensive range of company health programmes, in cooperation with Sozialwerk.Bund

Please submit your application materials (cover letter, CV, references) through the DZNE Career Portal. Please indicate which focus area you would like to take on and how your experience will strengthen the DZNE’s AI strategy.