Data engineer f m d állás, munka

• ongoing information on developments, discussions, and trends regarding the use of AI in research
• ongoing information on current and developing legal or compliance requirements
• ongoing development of the (AI) software portfolio provided to research and administration at the GIGA

• Integrate an existing monitoring framework into our autonomous driving stack
• Apply monitoring during motion planning
• Review the temporal logic specifications of the highway traffic rules and possibly adapt them

• You technically lead the internal development of cloud and on-premises software.
• You communicate with external technical leaders to ensure compliance with internal needs and company guidelines.
• You are a trusted fellow, always ready to help colleagues with their daily problems and questions.

As part of a great agile team, you will be involved in all phases of the development lifecycle - from conception and design through to coding, code reviews, testing and delivery....

Take responsibility for full-stack SAP development Continuously enhance components and the development toolchain according to SAP best practices. Execute and participate in testing activities in collaboration with insert team, e.g., QA or Business teams Perform code quality checks and conduct code...

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.

Develop and implement LLM based agentic solutions for processing large document sets. Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and the solutions. Develop and support semantic search, structured retrieval,...

• Development of a GUI to display data preprocessed with an existing library (toolbox-SXP)
• Adapt algorithms and analysis procedures to the GUI
• Collaborate in implementing visualisation tools based on EuXFEL data analysis tools

Develop a content-aware data compression method for Distributed Acoustic Sensing (DAS) data that dynamically adapts to the characteristics of the signal to maximize data reduction while preserving essential information required for downstream machine learning (ML) tasks....