Jobbeschreibung
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.
Join our Client Applications Division in München (Germany) at the earliest possible date.
- Support for generating a large-scale raw database by extracting internal (and external) information from PDFs, code bases, etc.
- Assist in analyzing and curating raw data sources by setting up pipelines for data processing and evaluations
- Utilize existing R&S AI tools to help improve naive RAG systems or implement more advanced RAG/Agentic-RAG systems
- Help optimizing overall performance for target application
- Support the integration of the AI system into our Web/Cloud applications
- Current academic studies in electrical engineering, computer science, mathematics, physics, or a comparable field of studies with focus on Machine Learning
- Very good programming skills in Python
- Understanding of deep learning architectures/concepts in NLP
- Experience with Laamaindex or LangChain, MLFlow, Dagster (or similar), LiteLLM
- Practical experience with e.g. Chunking Strategies, RAGs, Agentic-RAG, Evaluation
- Very good command of written and spoken English
You can expect very good payment, excellent terms and outstanding opportunities for growth and development.Mehr