Fraunhofer IIS

Data Engineer

• Develop and maintain software components for AI and data-driven applications.
• Design and improve data pipelines, processing workflows, and data management solutions.
• Support the preparation, organization, and quality assurance of datasets used for AI systems.
• Contribute to the development of knowledge organization frameworks, including taxonomies, ontologies, and related data models where applicable.
• Assist in AI model evaluation, experimentation, and deployment activities.
• Collaborate within an Agile development environment using modern software engineering practices.
• Create and maintain technical documentation to support development and knowledge sharing.

Working Student – AI & Data Engineering