Chief Data Graph Architect

7 days ago

rajkot, India beBeeArtificial Full time

Senior AI/ML Cloud EngineerThis role offers the chance to work on advanced network graph technologies, big data pipelines and cutting-edge AI/ML technologies. You will shape the architecture of an essential platform for enterprise decision-making.Key Responsibilities:Designing and implementing distributed entity resolution algorithms to process billions of records.Building blocking strategies (e.g., LSH, canopy clustering) optimized for Spark at scale.Creating AI/ML based advanced matching with explainable AI (XAI).Implementing incremental resolution supporting real-time and batch modes.Designing APIs for entity lookup with sub-100ms latency requirements.Assisting the team in building dynamic entity resolution with embedded graph knowledge of GNN and GT (Graph transformers).Main Deliverables:Architecting distributed graph generation pipelines using libraries such as GraphX/GraphFrames.Implementing graph analytics algorithms such as PageRank, community detection and centrality measures.Designing storage strategies for multi-billion edge graphs in the cloud.Building temporal graph support for time-evolving networks.Creating high-performance graph serving APIs with complex query capabilities.Optimizing graph partitioning to minimize shuffle and maximize locality.Requirements:A strong understanding of blocking algorithms, probabilistic record linkage and similarity measures is required, as well as experience with Architecture Design and implementation of large scaled Graph databases (Neo4j, Amazon Neptune, JanusGraph). The ideal candidate will have experience with designing microservices architectures, fault-tolerant, scalable systems and API design, as well as basic experience with Banking compliances (Financial Crime, Fraud).We are looking for someone who is motivated by challenge, highly values 'integrity' and 'merit', and is unafraid of reaching out to others for help and willing to help, go over and above your immediate role to work collaboratively with others.

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