will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets related... to understand the source and output goals of datasets. Translate customer goals into quantitative formulations. Qualifications...
. 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...
, 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...
) 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...
, 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...
-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 maintain REST APIs and integration components for SharePoint Online and On-Prem (Graph, CSOM/REST, PnP where appropriate....PowerShell, and/or Microsoft Graph PowerShell). Working knowledge of SharePoint architecture (sites, lists/libraries, content...
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...
, 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...