14 of 14 Stardog Jobs

Ontology Lifecycle Management* Knowledge Representation Principles* Data Governance FrameworksTools and Platforms: Hands-on experience with leading Knowledge Graph and semantic technology platforms, including:* Neo4j* Stardog* GraphDB* AWS NeptuneExperience with Metaphacts is highly desirable and considered an advantage.## **Additional Info****Hybrid working:** The places that you work from ...

pipeline implementation for AI applications (esp. LLMs), with hands-on design and configuration Experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases PREFERRED QUALIFICATION Hands-on experience with cloud platforms (AWS, Azure, GCP) Experience in Python, with experience in frameworks like ...

implementation for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge and working experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases (no leadership/commercial requirement at this band) PREFERRED QUALIFICATION Hands-on experience with cloud platforms (AWS, Azure ...

implementation for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge and working experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases (no leadership/commercial requirement at this band) PREFERRED QUALIFICATION Hands-on experience with cloud platforms (AWS, Azure ...

implementation for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge and working experience with relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases (no leadership/commercial requirement at this band) PREFERRED QUALIFICATION Hands-on experience with cloud platforms (AWS, Azure ...

implementations for AI applications (esp. LLMs), with hands-on design and configuration Extensive experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases Managerial experience leading people, able to explain the value of the semantic layer and knowledge graphs to senior business ...

implementations for AI applications (esp. LLMs), with hands-on design and configuration Extensive experience with strong knowledge of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases Managerial experience leading people, able to explain the value of the semantic layer and knowledge graphs to senior business ...

implementations for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge/working experience of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases About our client Our client is a leading global professional services company that helps the world's leading businesses ...

implementations for AI applications (esp. LLMs), with hands-on design and configuration Strong knowledge/working experience of relational databases, object stores, graph databases (Stardog, Neo4J, Amazon Neptune), and vector databases About our client Our client is a leading global professional services company that helps the worlds leading businesses, governments ...

QUDT, and GeoSPARQL Experience with formal representations of logical reasoning and inference Proficiency with SPARQL Experience with triple stores or graph databases (e.g., GraphDB, Stardog, Jena Fuseki) Experience with semantic validation languages (e.g. SHACL, SPIN) Experience with software version management using GIT Experience with Python Experience with machine learning, natural ...

Data Experience: Experience handling data from heterogeneous, distributed sources. While experience with the Semantic Web stack (RDF, OWL, SPARQL) or Graph Databases (Neo4j, GraphDB, Stardog, etc.) is highly desirable, we value a strong engineering mindset and a willingness to learn these technologies. Distributed Systems Knowledge: An understanding of the challenges ...

Data Experience: Experience handling data from heterogeneous, distributed sources. While experience with the Semantic Web stack (RDF, OWL, SPARQL) or Graph Databases (Neo4j, GraphDB, Stardog, etc.) is highly desirable, we value a strong engineering mindset and a willingness to learn these technologies.Distributed Systems Knowledge: An understanding of the challenges associated ...

Data Experience: Experience handling data from heterogeneous, distributed sources. While experience with the Semantic Web stack (RDF, OWL, SPARQL) or Graph Databases (Neo4j, GraphDB, Stardog, etc.) is highly desirable, we value a strong engineering mindset and a willingness to learn these technologies.Distributed Systems Knowledge: An understanding of the challenges associated ...

Data Experience: Experience handling data from heterogeneous, distributed sources. While experience with the Semantic Web stack (RDF, OWL, SPARQL) or Graph Databases (Neo4j, GraphDB, Stardog, etc.) is highly desirable, we value a strong engineering mindset and a willingness to learn these technologies. Distributed Systems Knowledge: An understanding of the challenges ...