Lead Cloud AI/ML Engineer

6 days ago


kochi, India beBeeExplainability Full time

Cloud-Optimized AI/ML Engineer for Graph AnalyticsAs a senior leader in our engineering team, you will be responsible for architecting and implementing distributed graph computing solutions that process billions of entities and relationships.Key responsibilities include designing and implementing distributed entity resolution algorithms, building blocking strategies, creating 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, and assisting the team in building dynamic entity resolution with embedded graph knowledge of GNN and GT.Entity Resolution Service: Design and implement distributed entity resolution algorithms to process large datasets. Build blocking strategies optimized for performance at scale. Create advanced matching with 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.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 large-scale graphs. Build temporal graph support for time-evolving networks. Create high-performance graph serving APIs with complex query capabilities.Advanced Data Science & Explainable AI (XAI): Develop Graph Neural Networks (GNNs) and models using neighbour sampling techniques such as GraphSAGE to analyze corporate and transaction networks for fraud and risk patterns. Implement AI-based Entity Resolution algorithms using fuzzy matching, semantic matching, 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.Cloud Infrastructure & Data Platform (Cross-Service Responsibilities): Ensure seamless integration between entity resolution and network generation services. Implement comprehensive monitoring and observability. Contribute to API design and service contracts.



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