, Spark, Gremlin, NeptuneDB, and more - to build knowledge graphs and graph algorithms that uncover hidden connections... in structured and unstructured data Pilot graph modeling algorithms through all phases of development, from design through...
graph, etc. System Evaluation: Contribute to the evaluation and implementation of software technologies, tools... AIML systems utilizing open-source/cloud-agnostic components such as search engine (e.g. elastic search, Qdrant), data...
for full software development life cycle, including coding standards, software architectures, code reviews, source control... databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience...
and Classification/Sensitivity, Human Feedback Loop for AI Systems, LLM-as-a-Judge automated evaluation, Providing Citations and Source..., Preserving Source Data Access Controls in AI Systems, Role-Based Access Control for AI Data, Encryption of AI Data at Rest...
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...
or AI/ML use cases Ability to translate complex source data into usable, high-quality representations for graph-based... information into graph-aware, semantically meaningful data products that can support analytics, reasoning, retrieval, and agentic...
-augmented generation, graph-backed search, and dashboards that pull from a mix of enterprise systems. The exact day-to-day... Contribute to graph-database-backed retrieval and semantic search work Integrate with enterprise SaaS platforms and internal...
in those languages. Vector and graph database expertise. Agentic/Autonomous Workflow Design - design, prototype, and operationalize... thought leadership - publications, patents, or open-source contributions in IR, LLM integration, or MLOps that influence...
model graph representations and automate deployment pipelines for TensorRT conversion. Scale DL model performance... layers and specialized attention mechanisms. Active contributions to open-source inference and optimization libraries...
, synonym refreshes, name normalization, and post-load validation. Work with source data stored in Microsoft SQL Server... metrics captured after indexing. Use SQL to query source and operational data, investigate discrepancies, support...