) Experience with open-source distributed computing framework, specifically Ray. Deep understanding of ML architectures (e.g...., RNNs, transformers, graph neural networks, behavior prediction networks) and system-level integration into autonomy stacks...
About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns..., UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy recognized graph databases...
Points): Experience with Salesforce Ecosystem Open-source contributions or experience in feature store ecosystem... development Experience with unstructured databases(vector or graph databases) and RAG pipelines Experience with context...
About Neo4j: Neo4j is the leader in Graph Database & Analytics, helping organizations uncover hidden patterns..., UBS, and Walmart. Neo4j experienced rapid growth this year as organizations looking to deploy recognized graph databases...
contributor to Neo4j, ArangoDB, or open-sourcegraph projects First-author papers at top database or systems venues Patents... Open-source Rust graph SDK reaching 1,000+ stars Accepted paper + keynote at GraphCon 2026 Top candidates: 6-hour live...
pipelines achieving 99 % precision on DeFi fraud and DePIN node-failure prediction Design RAG embeddings and KAG graph... production endpoint Open-source federated PyTorch operator → 1,000+ stars Accepted paper + keynote at NeurIPS 2026 Top...
to Parquet and exporting data to S3 buckets Designing and optimizing schemas for Neo4j-based graph solutions Integrating... knowledge workflows and KB articles into graph structures for advanced retrieval Troubleshooting data quality issues...
intelligent automation. This role focuses on building modular, scalable agents using both open-source and proprietary large...: Design and implement AI agents using Python, integrating both open-source frameworks (e.g., LangChain, VLLM, Ollama...
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...
emerging technologies (e.g., ML models, graph analytics) to enhance Insider Risk detection capabilities. Revisit Insider Risk... (APIs) from source systems of record to bring technical and non-technical indicators into the UEBA. Intermediate - Advanced...