(e.g. SQL, noSQL, graph) which performs at scale. Develop self-guided training curriculum which includes detailed Jupyter... Notebooks and documentation about how to use open-source and commercial software and Sponsor-developed data science software...
-on familiarity with NoSQL, relational, and/or graph databases (NoSQL strongly preferred), and comfort with JSON/XML data modeling..., modern source control, and enterprise software development practices. Understanding of data platforms andenough capability...
workflows with permissions-aware access, source traceability, and controls that scope retrieval to the minimum necessary data... where needed. Coordinate evidence and metadata standards so approval artifacts, retrieval traces, and content-source onboarding records can...
, and how golden records are maintained across a complex multi-source environment. If you have deep experience untangling messy, real... on identity resolution or MDM Hands-on experience with MDM platforms and graph data models for entity resolution Proven track...
-source project (1,000+ stars). Background in information retrieval, search, or knowledge graph systems. Experience... Hub project. We recently launched Context Hub, an open-source CLI tool that gives AI coding agents the up-to-date API...
building or integrating MCP servers Experience with code intelligence: AST parsing, static analysis, code graph construction... to open source or technical community leadership Mindset You treat repetitive engineering work as a problem to solve...
across various channels. You will also help shape the next generation of fraud intelligence by leveraging Graph Neural Networks (GNNs... payment fraud, Return abuse, Account takeover (ATO) etc. Design and implement graph-based fraud detection systems, including...
such as Bayesian inference, uncertainty quantification, information theory, causal inferencing, graph neural networks..., etc. Proficiency with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.) and deep learning frameworks (e.g., PyTorch...
inference, uncertainty quantification, information theory, causal inferencing, graph neural networks, etc. Proficiency... with open-source agentic frameworks (e.g., LangGraph, DSPy, mem0, etc.) and deep learning frameworks (e.g., PyTorch, Tensorflow...
on-site. Strong project-based experience with NoSQL, Graph (RDF triple-stores) or relational databases. Strong project-based..., JUnit, PyTest, etc. Experience using modern source code management and CI/CD tools such as GitHub, GitLab, GitLab...