AI/ML Graph Computing Expert

2 days ago


thiruvananthapuram, India beBeeData Full time

Senior AI/ML Engineer – Graph Analytics SpecialistThis is a technical leadership position focused on architecting and implementing distributed graph computing solutions processing billions of entities and relationships for a next-generation data intelligence platform using a microservices architecture.Entity Resolution ServiceDistributed algorithms for entity resolution must be designed to process large amounts of data in real-time.Blocking strategies (e.g., LSH, canopy clustering) optimized for Spark at scale must be built.Advanced matching with explainable AI (XAI) must be implemented.Incremental resolution supporting real-time and batch modes must be implemented.APIs for entity lookup with sub-100ms latency requirements must be designed.Network Generation ServiceDistributed graph generation pipelines using libraries such as GraphX/GraphFrames must be architected.Graph analytics algorithms such as PageRank, community detection, and centrality measures must be implemented.Storage strategies for multi-billion edge graphs in the cloud must be designed.Temporal graph support for time-evolving networks must be built.Ai/ml Model Development & Explainable Ai (Xai)Graph Neural Networks (GNNs) and models using neighbour sampling techniques such as GraphSAGE must be built to analyse corporate and transaction networks for fraud and risk patterns.Ai based Entity Resolution algorithms using techniques such as fuzzy matching, semantic matching (Sentence-BERT), and clustering across heterogeneous data sources must be implemented.Cloud Infrastructure & Data Platform (Cross-Service Responsibilities)Seamless integration between entity resolution and network generation services must be ensured.Comprehensive monitoring and observability must be implemented.



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