Ambitious Senior AI Architectural Leader

2 weeks ago


alappuzha, India beBeeExplainable Full time

Senior AI/Ml Cloud Engineer Role OverviewThis 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.The successful candidate will lead the development of entity resolution and network generation services.This is a foundational role offering the unique opportunity to design, build, and steer a product from its inception, establishing yourself as a key architect in one of the world's leading graph analytics platforms.Key Responsibilities:Design and implement distributed entity resolution algorithms to process billions of records.Create blocking strategies (e.g., LSH, canopy clustering) optimized for Spark at scale.Build 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.Cloud Infrastructure & Data Platform: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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