Cloud AI Engineer

5 days ago

tumakuru, India beBeeDataEngineer Full time

Key ResponsibilitiesDesign and implement distributed algorithms to process large datasets.Built blocking strategies (e.g., LSH, canopy clustering) optimized for Spark at scale.Create advanced matching with explainable AI.Implement incremental resolution supporting real-time and batch modes.Design APIs for entity lookup with sub-100ms latency requirements.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.Required Skills and QualificationsDistributed Computing, Apache Spark, GraphX, GraphFrames, Elasticsearch, Neo4j, Amazon Neptune, JanusGraph, Kafka, Flink, Apache Beam, Apache Spark Streaming, Symbolic AI, Vector Search, Graph AI, Agentic frameworks, Python, Java, Scala, C++, SQL, Open Cypher, Gremlin, Big Data Systems, Entity Resolution, Graph Analytics, Explainable AI (XAI), SHAP, LIME, Bias Detection and Monitoring Model Drifts.Benefits of Working With UsWe offer a collaborative work environment where you can grow professionally and personally. Our team is passionate about innovation and dedicated to delivering exceptional results.Join Our Team

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