Own and improve our ML training and evaluation pipelines, making them more reliable, flexible, and easier to extend, Improve configuration, maintainability, and traceability of our ML workflows (e.g., parameter handling, experiment tracking, pipeline design), Reduce complexity and improve reliability in our Google Earth Engine (GEE) feature pipeline, Contribute to the development of our geospatial data infrastructure, extending our capacity to store and process vector files, as well as high-resolution raster datasets, Own and improve our CI/CD and testing strategy, supporting integration tests, dependency upgrades, and stronger release hygiene, Support with further development of our GCP infrastructure, adapting our architecture, monitoring and access management to evolving needs