Senior AI/ML Data Science Leader

We are seeking an experienced Senior AI/ML Engineer to join our team.As a key member of the engineering team, you will be responsible for designing and implementing distributed graph computing solutions that process billions of entities and relationships.The successful candidate will lead the development of entity resolution and network generation services, working closely with the data science team to design and implement algorithms, build blocking strategies, and create AI/ML based advanced matching with explainable AI (XAI).This is a unique opportunity to work on advanced network graph technologies, big data pipelines, and cutting-edge AI/ML technologies, shaping the architecture of a critical platform for enterprise decision-making.You will have the chance to contribute to API design and service contracts, ensuring seamless integration between entity resolution and network generation services, and implementing comprehensive monitoring and observability.To be successful in this role, you will need to have a strong understanding of blocking algorithms, probabilistic record linkage, and similarity measures, as well as experience in entity resolution and graph analytics at scale.Design and implement distributed entity resolution algorithms to process large datasets.Build blocking strategies optimized for performance and scalability.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 sub-100ms latency requirements.Assist the team in building dynamic entity resolution with embedded graph knowledge.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.Build Graph Neural Networks (GNNs) and models using neighbour sampling techniques such as GraphSAGE to analyze corporate and transaction networks for fraud and risk patterns.Implement AI based Entity Resolution algorithms using techniques such as fuzzy matching, semantic matching, and clustering across heterogeneous data sources.Create Risk Scoring Models by combining rule-based, supervised and unsupervised methods, optimized for real-time and large data processing.Champion model transparency and fairness by integrating state-of-art models evaluation techniques.Ensure seamless integration between entity resolution and network generation services.Implement comprehensive monitoring and observability.Contribute to API design and service contracts.We offer a competitive salary package, including equity, learning resources, and a remote-first culture.This is a unique opportunity for the right candidate to solve intricate technical challenges and build a platform that fights financial crime.Impact: You will shape the architecture of a critical platform for enterprise decision-making.Innovation: The role offers the chance to work on advanced network graph technologies, big data pipelines, and cutting-edge AI/ML technologies.Growth: You will influence core engineering and play a central role in building the early team.Learning: We provide comprehensive onboarding and continuous learning opportunities.Flexibility & Equity: This is your opportunity to grow with our organization and earn significant upside as we grow into the future.Join us in building the next generation of Graph analytics.