Lead end-to-end development of predictive machine learning systems for agricultural operations, including modeling, dataset construction, training, deployment, monitoring, and production support. Conduct research across machine learning and pasture science, work with complex high-volume datasets, and translate academic research into practical systems. Collaborate across engineering, product, and design while developing innovative models for pasture growth, animal health, remote sensing, and grazing optimization.

Build, deploy, and maintain production-grade AI-powered finance automations using enterprise tools such as Claude and NetSuite. Partner with FP&A, accounting, and Finance Systems to identify valuable automation opportunities, evaluate native AI capabilities, develop scripts and workflows, and support platform upgrades and implementations. Own initiatives from scoping and testing through delivery and ongoing maintenance while helping shape the finance systems AI roadmap.

Own end-to-end development of advanced ML systems for agricultural applications: research, model design, dataset construction, training, deployment, and production monitoring. Collaborate across engineering, product, and design to translate cutting-edge research into practical predictive products for pasture and animal management.