large datasets Experience with Document Store Databases such as Elasticsearch and ArangoDB and Graph Databases concepts... Interfaces (GUI) Experience with all-source analysis combining technical intelligence expertise with analytical...
classification, access controls, and ATO/RMF processes. Knowledge of graph analytics or geospatial analysis methods applied...., Exiger, Sayari, Dun & Bradstreet) or open-source threat intelligence tools. Target salary range...
-relational databases and/or graph databases. Open-source contributions or a GitHub profile you'd like to share! Compensation...
pipelines. Evaluate state-of-the-art algorithms, models, APIs, and open-source tools, including BERT, ELMo, GPT-based models... with cloud-based machine learning environments, Spark, visualization and dashboarding tools, Elasticsearch, Solr, and graph...
portfolio-wide anomaly detection, linkages, and behavioral anomalies. Apply graph/network analytics to identify collusion... source (i.e. Python, Impala, Hive, etc.) tools. Traditional and advanced machine learning techniques and algorithms...
enterprise RAG architectures, vector stores, semantic ontologies, and knowledge graph architectures that allow foundation models... across organizational boundaries to secure data access, understand source system context, and resolve data quality challenges with teams...
naming conventions, domain standards, and versioning Define and steward canonical data entities and lineage across source... governance Knowledge graph platforms (Neo4j, Neptune) or knowledge of OWL, RDF and exposure to and build of ontologies...
and business process expert to assure successful implementation. Serves as a source of information to the business teams. Subject..., and data-driven decision-making. Familiarity with knowledge graph concepts and semantic data structures to support the...
knowledge of path planning techniques, such as graph-based search (A*, D* Lite), sampling-based planners (RRT, RRT*, PRM... geometry, and graph theory. Knowledge of vehicle dynamics, kinematic constraints, and control theory as applied to autonomous...
with graph neural networks (GNNs) or geometric deep learning for circuit and netlist analysis Background in reinforcement... such as NVIDIA, AMD, Intel, Google DeepMind, or similar AI/HPC-focused companies Published research or open-source contributions...