Teams at Matrix Global Services

Design, build, and operationalize AI-enabled data pipelines and production-grade AI applications using Python and Snowflake. Prepare and transform large datasets, develop features and embeddings, support deployment and monitoring of ML/LLM models, optimize Snowflake for AI workloads, and collaborate with data science and engineering teams to deliver scalable APIs and RAG-enabled data workflows.

Lead design, development, and delivery of end-to-end Quantexa solutions. Implement and optimize entity resolution and scoring models, define CDEs, run simulations and threshold calibration, and manage stakeholders while mentoring development teams to ensure scalable, high-quality outcomes in risk/compliance contexts.

Lead end-to-end implementation of the Hummingbird platform, managing scope, timelines, risks, testing (SIT/UAT), governance, and cross-functional stakeholders to ensure timely delivery in a regulated enterprise environment.