Software Engineers – Geospatial Technology

Openings for Software Engineers – Geospatial Technology We are working on a rich, varied and exciting technology stack which incorporates the following: - Machine learning on satellite data, particularly from the Sentinel-1/2 and Landsat systems, and Google Maps APIs. Expanding into analysis of drone imagery. - ML/DL methods including a mix of traditional classification methods like Random Forests and Support Vector Machines, deep learning methods like Convolutional Neural Networks and object detection pipelines, and foundational transformer models for multi-channel remote sensed data. - Geospatial algorithms available through the GDAL library and QGIS platform. - Extensive use of the Google Earth Engine platform. - Establishment of a local computational infrastructure, including the development of GPU-versions of several geospatial algorithms such as for watershed delineation and flow accumulation. - React-based frontend to enable communities and other stakeholders to access and interpret the data. Notable frameworks we are developing include the Commons Connect android application for communities to plan and manage natural resource management assets and the Know Your Landscape dashboard to equip government departments for context-sensitive planning of appropriate assets across different locations. - Use of Large Language Models (LLMs) to generate informative textual descriptions of landscapes based on quantitative datapoints, and to triangulate these with community observations and experiences about their landscapes. - Development of new interactive modalities like question-answering systems, agricultural advisory based on weather forecasts, and early warning alert systems, to translate data into actionable insights for communities. This work is happening in close collaboration with researchers including faculty and PhD students at IIT Delhi, hydrology experts at WELL Labs, ecology researchers at ATREE, and knowledge partners and implementation organizations including FES, WASSAN, and PRADAN. There is unlimited learning! Technology professionals keen to join our engineering team should be socially conscious, able to inspire their team and work in a fast-paced environment, and at ease with learning new skills and technologies. We welcome people with varied skill sets but the current priority/role requires experience with hands-on full stack development. The full stack experience should ideally be in Python/Django with experience of relational databases and web front end technologies like Angular / React. Below are the criteria for applying to the position – Must have skills and experience • Excellent problem-solving, debugging and troubleshooting skills • 0-8 years of experience working with python-based web development frameworks like Django/Flask • Fluency in version management using GIT • Ability to execute full lifecycle software development • Habit of writing well designed, testable, efficient code • Disciple to write good documentation, foresight to build out specifications, follow code review protocols, and take feedback positively • Gain domain expertise in geospatial algorithms and begin to serve as a subject matter expert Highly valued skills • Experience with Google Earth Engine • Experience in designing and building Micro-Services on cloud-based platforms • Use of AWS lambda, API Gateways, Azure, GCP etc • Experience working with modern BI systems and Data-Analytics • Experience in AI/ML technologies for Computer vision • Data analysis skills, evaluation of ML models, maintaining ML pipelines