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City:  Berlin

Date:  May 4, 2026

Student Assistant AI Operations

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and society – more precisely: 32 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

Future. Discover. Together.

Excellent research and innovation are at the centre of the work of the HHI - Fraunhofer Institute for Telecommunications. We are a world leader in researching mobile and optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. As part of our project with the start-up TestBlu, we are looking for a Student Assistant in AI Operations to support software development, infrastructure, and AI operations ensuring reliable integration from laboratory outputs to AI-driven interpretation within the CaniSense diagnostic workflow. Become a part of our team and join us on our journey of research and innovation!

Be part of change

• Develop and maintain internal software tools, scripts, and automation pipelines
• Build and optimize data pipelines connecting sequencing outputs to AI models
• Automate AI model deployment, monitoring, and versioning
• Support IT infrastructure and cloud-based environments
• Improve workflow automation and system scalability
• Ensure stable integration between laboratory processes and AI interpretation layer
• Document systems, processes, and deployment workflows

What you contribute

Required Qualifications 

• Enrolled Master student in Computer Science, Software Engineering, Data Engineering, AI, or related field
• Strong programming skills (Python required; additional languages beneficial)
• Experience with workflow automation and pipeline development
• Knowledge of CI/CD pipelines, such as Gitlab
• Understanding of containerization (Docker) and basic DevOps principles
• Structured and solution-oriented mindset

Preferred Qualifications 

• Experience with cloud environments (AWS, GCP, or Azure)
• Familiarity with data security and healthcare-related data handling
• Familiarity with Jira, and its advanced features for workflow automation and pipeline development

What we offer

• Attractive salary
• Modern and well-equipped workplace in a central location
• Good and cooperative working atmosphere in an international team
• Flexible working hour

The position is initially limited to 1 year. An extension is explicitly desired.

The monthly working time is 80 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. 

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.
 

Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI 

www.hhi.fraunhofer.de 

Requisition Number: 84266                Application Deadline: 05/31/2026

Job Segment: Lab Assistant, Cloud, Software Engineer, Science, Part Time, Technology, Engineering, Research