SPARQL
9 job openings found.
Fusion Consulting
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.
Adorsys
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.
ALMATO
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.
Manex AI
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.
TU München
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.
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In this role, you design and build enterprise ontologies and knowledge graphs, translating business definitions into machine-readable formats while working with experts to capture domain logic for AI applications.
RWE AG
In this role, you will design semantic models, build and maintain knowledge graphs and retrieval pipelines to deliver context-based and explainable AI solutions for agents.
Max-Planck-Institut für Wissenschaftsgeschichte
In this role, you will develop machine learning applications and analyze data within digital humanities by designing data pipelines and creating interactive software for historical research projects.
Deutsches Zentrum für Luft- und Raumfahrt eV.
In this role, you develop innovative methods for quality assurance in knowledge graphs, conduct literature analyses, and implement them in software solutions to enhance data quality across various applications.
Technische Informationsbibliothek (TIB)
In this role, you will develop semantic data infrastructures and ontology-based applications for chemistry and engineering, while testing AI-supported methods and maintaining domain-specific ontologies.
Bayer AG
In this role, you will develop reference and master data in a global data landscape and work closely with various teams to create and manage data structures in OneEDG.