, metrics-first modeling, and ontologies (knowledge graph concepts). Deliver Master Data Management (MDM) capabilities... enrichment Implement graph-based approaches: RDF, OWL, and SPARQL querying Property graph / knowledge graph modeling...
, and governed AI;the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source...About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the...
standards, applications, and open source data sets. Able to analyze and implement knowledge organization strategies using... developments related to ontology use, linked data, semantic technology, graph databases, knowledge organization, data modeling...
. Even better, it's 100% open source. Many of the world's leading enterprises are migrating from legacy RDBMSs (like Oracle, SQL Server.... NoSQL Databases: Familiarity with NoSQL databases. Open Source & Research: Contributions to open-source database projects...
) Neo4j and graph technologies Commercial and open-source LLMs LangSmith and observability tooling Git-based CI/CD... AI and knowledge graph–based systems. The Software Engineering Advisor will partner with senior engineers, architects, data scientists...
-friendly, reproducible research code (e.g., packages, documented pipelines, open-source contributions, or similar). Written... * Experience with one or more of the following: knowledge graphs, graph machine learning, link prediction, representation learning...
, and ontologies (knowledge graph concepts). Deliver Master Data Management (MDM) capabilities and align master/reference data..., enrichment using LLMs and embeddings Vector search, RAG pipelines, and LLM-based enrichment Implement graph-based approaches...
-source knowledge communities. Tools & Technologies Fluree or similar semantic/graph database Akka (Scala/Java) OWL, RDF... of designing and leading ECC framework implementations. You can develop and manage knowledge graph solutions for enterprise use...
with compiler-driven ML systems (e.g., XLA, MLIR, Inductor) and graph-level optimizations. Experience designing custom fused... governing large-model pretraining dynamics and stability considerations. Contributions to open-source ML systems, distributed...
Ontology Consultant: Titles: Ontologist, Ontology Engineer, Semantic Data Modeler, Knowledge Graph Engineer, Semantic... models, integrating multiple source systems, defining validation rules and constraints. Stardog and SPARQL (preferred...