: Familiarity with ML problem areas and techniques, including recommendation systems (e.g., graph-based approaches, two-tower models..., and vector databases. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects...
with distributed orchestration patterns for LLM applications (graph-based flows, retries, fallbacks, guardrails) and secure integration..., and frameworks to accelerate development. Demonstrated leadership in technical communities, open source contributions, or industry...
with distributed orchestration patterns for LLM applications (graph-based flows, retries, fallbacks, guardrails) and secure integration..., and frameworks to accelerate development. Demonstrated leadership in technical communities, open source contributions, or industry...
(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...
(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...
Responsibilities Collect, preprocess, and manage heterogeneous data from sensors, system logs, policy documents, and open-source... disaster datasets. Design and implement a unifi ed knowledge graph-based data model for data integration and interoperability...
, and troubleshooting of knowledge graph services. Install and configure. Monitor the platform, including integration... data source connections and manage asset libraries. Identify and raise system capacity related issues (storage, licenses...
(Customer, Order, Invoice, Product, Vendor, Asset). Deploy automated schema mapping agents for source-to-target analysis... complexity: successfully delivered programs involving at least 3+ heterogeneous source systems, 100M+ records, complex master...
productivity. Build interpretable AI pipelines using graph neural networks, large language models, and process-aware reasoning..., constraints, STA, or sign-off workflows. Proficiency in Python, PyTorch/TensorFlow, and graph or agentic AI frameworks (e.g...
and orchestration layers Semantic and knowledge graph foundations Data and signal ingestion fabric Model, reasoning, and tool... Strong distributed data processing background Knowledge graph platforms, semantic modeling, and ontologies AI, ML & Agentic Systems...