Distinguished Technical Leader

2 weeks ago

thane, India beBeeGraph Full time

Job OpportunityThis is an opportunity to tackle intricate technical challenges, from real-time very large data processing to advanced analytics and optimization on very large network graphs and interactive graph visualizations, while contributing to a mission that fights financial crime, builds customer intelligence, and promotes ethical decision-making.The role is a hands-on 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.Key Responsibilities:Entity Resolution Service:Design and implement distributed entity resolution algorithms to process billions of records.Build blocking strategies (e.g., LSH, canopy clustering) optimized for Spark at scale.Create AI/ML based advanced matching with explainable AI (XAI).Implement incremental resolution supporting real-time and batch modes.Design APIs for entity lookup with sub-100ms latency requirements.Assist the team in building dynamic entity resolution with embedded graph knowledge of GNN and GT (Graph transformers).Network Generation Service:Architect distributed graph generation pipelines using libraries such as GraphX/GraphFrames.Implement graph analytics algorithms such as PageRank, community detection, and centrality measures.Design storage strategies for multi-billion edge graphs in the cloud.Build temporal graph support for time-evolving networks.Create high-performance graph serving APIs with complex query capabilities.Optimize graph partitioning to minimize shuffle and maximize locality.Ai/ml Model Development & Explainable Ai (xai):Build Graph Neural Networks (GNNs) and models using neighbour sampling techniques such as GraphSAGE to analyse corporate and transaction networks for fraud and risk patterns.Implement AI based Entity Resolution algorithms using techniques such as fuzzy matching, semantic matching (Sentence-BERT), and clustering across heterogeneous data sources.Create Risk Scoring Models by combining rule-based, supervised and unsupervised methods, optimized for real-time and large data processing.Champion model transparency and fairness by integrating state-of-art models evaluation techniques such as SHAP, LIME, bias detection and monitoring model drifts.

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    thane, India beBeeBusinessDevelopment Full time

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    thane, India beBeeLeadership Full time

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    thane, India beBeeEngineering Full time

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    thane, India beBeeMechanical Full time

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    thane, India beBeeCloudNative Full time

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  • # Senior Technical Leader #

    1 week ago

    thane, India beBeeEngineering Full time

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    thane, India beBeeTechnical Full time

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    thane, India beBeeFounder Full time

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    thane, India beBeeTechnical Full time

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    thane, India beBeeLeader Full time

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