Your tasks

• (Re-) training of state-of-the-art AI models for audio analysis; production-ready deployment in containerized cloud environments
• Development of proof-of-concept web front-end as showcase. Keeping an eye on the latest advances in the field of AI/ML
• Establish a robust framework for KPI monitoring and AI benchmarking to evaluate model accuracy and latency

Your qualifications

• Current studies in Electrical Engineering, Computer Science, Machine Learning or similar
• Proven experience in modern machine learning frameworks (e.g. TensorFlow, PyTorch or JAX)
• First experience with cloud-deployments (e.g. Docker, Kubernetes, OpenShift)
• Familiarity with handling large amounts of datasets
• Knowledge of front-end development (e.g. React, Angular or Vue) is a plus

Interested?

We are looking forward to receiving your application! The best way to apply is online using the reference number. If you have any questions, please feel free to contact your recruiting contact at any time.

You must be properly enrolled for the duration of your employment.

Mobile working is possible - but your main place of work is Kiel.

We place great importance on equal opportunities. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.

Reference number: 14725
Recruiting contact: Tanja Feßmann

At Rohde & Schwarz, we develop and produce solutions in the fields of Test & Measurement, Technology Systems, and Networks & Cybersecurity – driven by the vision of a safer and connected world. From software to final production, our more than 15,000 employees create products and systems that set global standards and enable technological sovereignty for industrial, regulatory, and government customers worldwide. Our headquarters, located in the heart of Munich, also serves as our main development site.