Teams at Treefera

Build and productionize forecasting and machine learning models using weather, climate, and satellite data to generate agricultural, environmental, and risk signals. Own end-to-end pipelines from data ingestion and modeling through evaluation, orchestration, and customer delivery. Improve experiment design, uncertainty analysis, reproducibility, and monitoring while collaborating with science, engineering, product, and market intelligence teams.

Build and maintain Python services, data models, pipelines, and APIs that transform satellite and ground-truth data into environmental intelligence. Own technical decisions, prototype and ship customer-facing capabilities, extend existing systems, and ensure reliability through maintenance and documentation. Collaborate with Product, Customer Solutions, Science/AI, and enterprise customers while mentoring engineers, improving tooling, and demonstrating solutions commercially.

Build and maintain end-to-end software across user interfaces, APIs, data pipelines, and platform systems. Develop MVPs and proof-of-concepts, make architectural decisions within existing constraints, and support maintenance, documentation, and operational reliability. Contribute through code reviews, mentoring, tooling improvements, demos, and cross-functional collaboration. The role requires independent judgment, rapid iteration, and practical use of AI in a fast-moving startup environment.