RDF Jobs in Germany

In this role, you develop semantic knowledge models and knowledge graphs to design AI-capable business architectures, establish governance standards, and foster knowledge transfer across departments.

In this role, you will develop data architecture guidelines and define data models for network asset data to create a consistent and efficient data foundation for digital twins and AI use cases.

In this role, you will design enterprise ontologies and knowledge graphs, support AI applications, and closely collaborate with domain experts to formalize knowledge into machine-readable structures.

In this role, you will develop enterprise ontologies and knowledge graphs, translate business definitions into machine-readable formats, collaborate with experts to capture domain knowledge, and implement standards for data governance.

In this role, you will design and build enterprise ontologies and knowledge graphs, formalize knowledge, and collaborate with subject matter experts to create structured representations for AI applications.

In this role, you will design enterprise ontologies and knowledge graphs, translate business data into machine-readable structures, and work closely with subject matter experts to capture domain knowledge.

In this role, you will design enterprise ontologies and knowledge graphs, formalize business logic into machine-readable formats, and collaborate with subject matter experts to optimize knowledge structures for AI applications.

In this role, you will design and implement cloud-native Data Services, develop Semantic Data Products, and collaborate closely with other engineers to ensure data quality and governance.

In this role, you will develop software systems in Elixir, optimize AI and data applications, and model graph databases while closely collaborating within an agile team.

In this role, you will develop core components of the platform, ranging from data processing to application development, taking ownership of your features throughout the entire development lifecycle.

In this role, you will integrate AI models for automated metadata extraction into scientific data infrastructures and develop robust pipelines for harmonizing data from various sources.