advanced math, computer science, graph theory and machine learning to solve the routing problem. Basic Requirements... and development environment. Strong analytical thinking and debugging skills. Experience with rapid prototyping in open-source...
(graph-based flows, retries, fallbacks, guardrails) and secure integration with enterprise tools and data. Experience.... Demonstrated leadership in technical communities, open source contributions, or industry forums. About Us: Chase is a leading...
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...
: 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...
, 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...
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...
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...
, spanning: Agent frameworks and orchestration layers Semantic and knowledge graph foundations Data and signal ingestion... Strong distributed data processing background Knowledge graph platforms, semantic modeling, and ontologies AI, ML & Agentic Systems...
platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily..., graph optimization, kernel fusion, and model partitioning. Experience with frameworks such as DeepSpeed, Megatron, vLLM...