-focused products that let coding agents generate, refactor, and optimize CUDA kernels and graph-level execution plans...-source projects (e.g., Triton, TVM, FlashAttention, kernel libraries, agent frameworks) with clear community adoption...
as needed, ensuring reliable delivery of data from source systems into customer-facing products and services. Lead complex geospatial... processing and analysis such as multi-source data integration, conflation, and large-scale QA/QC, applying expert judgment...
, governing, and continuously improving the “Product Truthâ€â€”from complex multi-source ingestion through enrichment and publication... and survivorship rules. Build and maintain a related-part relationship graph (substitutes, accessories, kits, required/compatible...
, and reasoning. Memory, Reasoning, Graph RAG & Model Context Implement short-term, long-term, vector, semantic, episodic..., and graph-based memory strategies. Design and develop Graph RAG pipelines using knowledge graphs to enable grounded...
: data modeling & ontologies, data platform & lakehouse architecture, and knowledge graph & specialized data systems... automation systems to the data infrastructure. Knowledge Graph & Specialized Data Systems Design and implement knowledge...
-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models... and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations...
in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph... Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes...
chosen, high-quality products and services to carry the AARP name. As a trusted source for news and information, AARP... exposure to object-oriented and/or ontology-based data environments (e.g., graph databases, semantic models, or platforms...
, 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...
, sequencing, cadence, source coverage, extraction methods, staging, validation, and handoffs;maintain decision logs... patterns using retrieval-augmented generation (RAG) concepts and, where applicable, knowledge graph integration to improve...