Cloud AI/ML Architect

1 week ago

nagpur, India beBeeCloudEngineer Full time

Senior AI/ML Cloud Engineer RoleThis role offers the opportunity to tackle complex technical challenges, push the boundaries of distributed graph computing and build a system that combats financial crime.The successful candidate will lead the development of Entity Resolution and Network Generation services using a scalable architecture.Key responsibilities include designing and implementing distributed entity resolution algorithms, building blocking strategies for Spark at scale, creating advanced matching using Explainable AI (XAI), and implementing incremental resolution supporting real-time and batch modes.Additionally, the engineer will design APIs for entity lookup with sub-100ms latency requirements, assist in building dynamic entity resolution with embedded graph knowledge of GNN and GT, and architect distributed graph generation pipelines using libraries such as GraphX/GraphFrames.Entity Resolution Service:Design and implement distributed entity resolution algorithms to process massive datasets.Build blocking strategies optimized for Spark at scale.Create AI/ML based advanced matching with explainable AI (XAI).Implement incremental resolution supporting real-time and batch modes.Design APIs for entity lookup with low latency requirements.Assist the team in building dynamic entity resolution with embedded graph knowledge of GNN and GT.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 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.The ideal candidate will have 3+ years of experience in distributed computing and big data systems, 2+ years' experience in entity resolution and graph analytics at scale, and a strong understanding of blocking algorithms, probabilistic record linkage, and similarity measures.They will also be able to design and optimize large Apache Spark workloads, implement graph algorithms in distributed computing frameworks, and understand Open Cypher or equivalent. Familiarity with Elasticsearch or equivalent for fast search and pattern matching is also desirable.A Master or PhD in Computer Science or related field with focus on graphs/entity resolution is preferred, along with experience with Architecture Design and implementation of large scaled Graph databases or equivalent.We offer impact, innovation, growth, learning, flexibility and equity, and a remote-first culture. The successful candidate will earn great base salary, significant early-stage equity, learning resources, and a high-impact environment.

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