Working Student (m/f/d) LLM for Mobile Radio Test

at  Rohde Schwarz GmbH Co KG

EXCITING INSIGHTS INTO ROHDE & SCHWARZ

Our colleagues provide insider information about:

• Daily adventures and challenges
• Our passionate team
• The technologies behind the innovative projects and solutions

YOUR QUALIFICATIONS

• Current academic studies in electrical engineering or computer science with focus on Machine Learning.
• Practical experience with RAGs, e.g. building chatbot
• Programming skills in Python
• Knowledge in microservices (Kubernetes, GitOps, Docker…)
• Experience with WebApplication (Typescript, Angular)
• Knowledge of PyTorch (or TensorFlow), scikit-learn, NLTK
• Understanding of Network Technologies (LTE, 5G)
• Very good command of written and spoken English

INTERESTED?

We are looking forward to receiving your application! If you have any questions, please feel free to contact your recruiting contact at any time.
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: 8227
Recruiting contact: Verena Kral
Rohde & Schwarz is a global technology company with approximately 14,000 employees and three divisions: Test & Measurement, Technology Systems and Networks & Cybersecurity. For 90 years, the company has been developing cutting-edge technology, pushing the boundaries of what is technically possible and enabling customers from various sectors such as business, government and public authorities to maintain their technological sovereignty. Headquartered in Munich, Germany, the company has strong regional hubs in Singapore and Columbia, Maryland to coordinate business activities in Asia and the USA.

• Support for generating a large-scale raw database by extracting internal (and external) information from PDFs, code bases, etc.
• Help with curating the raw data and creating a data pre-processing pipeline
• Assist to setup the embeddings and the vector database with R&S AI tools
• Utilize the R&S AI tools to build naïve and advanced RAG systems together with your team
• Support to optimize overall code generation performance for target application