Senior AI/ML Graph Computing Engineer

1 week ago

thrissur, India beBeeGraph Full time

Job OverviewWe are seeking an accomplished Senior AI/ML Engineer to lead the development of our Graph Analytics Platform. This exciting opportunity involves designing and implementing distributed graph computing solutions that process billions of entities and relationships.The successful candidate will be responsible for architecting and implementing Entity Resolution and Network Generation services, optimizing performance, latency, and throughput in a microservices architecture.Key Responsibilities include:Designing and implementing distributed entity resolution algorithms to process large datasets.Building blocking strategies optimized for Spark at scale.Creating advanced matching with explainable AI (XAI).Implementing incremental resolution supporting real-time and batch modes.Designing APIs for entity lookup with sub-100ms latency requirements.Required Skills & QualificationsTo succeed in this role, you will need:Proficiency in AI/ML technologies and graph analytics.Experience with cloud engineering and microservices architecture.Strong problem-solving skills and attention to detail.Ability to work independently and as part of a team.BenefitsWe offer a comprehensive benefits package, including:Continuous learning opportunities and mentorship from senior Data Analytics & AI practitioners.A collaborative and dynamic work environment.The chance to shape the architecture of an essential platform for enterprise decision-making.About the RoleThis is a unique opportunity to solve intricate technical challenges, push the boundaries of what's possible with distributed graph computing, and build a platform that fights financial crime.You will influence core engineering and play a central role in building the early team.ContexQ provides comprehensive onboarding on its ecosystem, offering continuous learning opportunities and mentorship from senior Data Analytics & AI practitioners.

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