Data Intelligence Specialist

3 days ago


amravati, India beBeeDistributed Full time

Cloud AI Engineer Role OverviewThe Cloud AI Engineer will lead the development of distributed graph computing solutions processing billions of entities and relationships for a data intelligence platform.Design and implement distributed entity resolution algorithms to process massive datasets.Build blocking strategies optimized for Spark at scale, such as LSH or canopy clustering.Create 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.Distributed Graph Generation ServiceArchitect distributed graph generation pipelines using libraries like 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.This is a hands-on technical leadership position focused on architecting and implementing distributed graph computing solutions for a data intelligence platform using a microservices architecture.Key Responsibilities:Pursue innovative solutions to optimize distributed graph computing performance.Develop scalable algorithms to process vast amounts of data.Collaborate with cross-functional teams to design and implement efficient data storage solutions.Contribute to the development of cutting-edge graph analytics tools.Mentor junior engineers and share knowledge to drive team success.Candidates must possess strong technical expertise in cloud-based AI/ML engineering, as well as exceptional communication and leadership skills.



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