Python ML Engineer to Build Agricultural Intelligence Platform

StrataAg Technologies is looking for a freelance ML/software engineer to build our core analytics platform from the ground up, moving from zero to MVP with potential to scale into production. We are developing a predictive operational intelligence platform for the agricultural sector. The system ingests multiple streaming and static external data sources to deliver localized, high-resolution risk and decision-making metrics for operators You'll own: The full stack. Data ingestion and cleaning, database design, core scoring and decision logic, backend API, and a simple frontend for farm operators to view and understand the solutions. The farmer-facing interface doesn't need to be complex, but it should be intuitive enough that someone running a farm operation can open it and immediately understand what they're looking at. You're the right fit if: You've built a multi-input scoring or risk system before and are comfortable making independent modeling decisions. Quant finance, insurance, actuarial, or credit backgrounds translate well, but other experience in ML/Data Science are welcome. You've shipped something that ran in production and can take a well defined problem and run with it independently. This isn't the right project if: You prefer inheriting existing infrastructure, need a defined ticket queue to operate, or your default approach to every problem is deep learning before considering simpler solutions.