Data Intelligence Architect

2 weeks ago


meerut, India beBeeDistributedGraph Full time

Senior AI/ML Cloud EngineerThe role involves architecting distributed graph computing solutions processing billions of entities and relationships for a data intelligence platform using microservices architecture.Key responsibilities include designing and implementing Entity Resolution algorithms to process billions of records, building blocking strategies optimized for Spark at scale, creating AI/ML based advanced matching with explainable AI, and implementing incremental resolution supporting real-time and batch modes.Design and implement distributed entity resolution algorithms to process large datasets.Build blocking strategies such as LSH and canopy clustering to optimize performance on Spark.Create AI/ML models for advanced matching with XAI capabilities.Implement incremental resolution to support real-time and batch processing requirements.Design APIs for entity lookup with sub-100ms latency requirements.Collaborate with the team to build dynamic entity resolution with embedded graph knowledge of GNN and GT.The ideal candidate should have strong understanding of blocking algorithms, probabilistic record linkage, and similarity measures, as well as experience in designing and optimizing large Apache Spark workloads.The company offers unique opportunity to solve intricate technical challenges, push boundaries of what's possible with distributed graph computing, and build a platform that fights financial crime.Key Skills: Distributed graph computing, entity resolution, Apache Spark, blocking algorithms, probabilistic record linkage, similarity measures, AI/ML, XAI, microservices architecture.


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