Product Engineer - Geospatial Data Science - GeoAI

• Develop and implement test plans and test cases, write test code, verify code changes, bug fixes for the relevant and related products to maintain product quality • Review and analyse test results; report status on software quality and stability; test and certify software, SDK, and AI model quality • Troubleshoot and triage customer issues, analyse user feedback to identify areas for improvement • Collaborate with data scientists and engineers on the testing, documentation and release of tools, APIs and pretrained models for geospatial AI • Develop samples, tutorials, documentation, blog posts and presentation of product features • Develop pre-trained geospatial AI models for imagery, 3D datasets and text

• 2 to 8 years of industry experience in a software development or QA environment, preferably in product-based or geospatial consulting companies • Hands-on experience in QA processes, implementing test plans, developing or managing test automation, and product certification • Proficiency in Python and Jupyter notebooks, GIS libraries like GDAL/Rasterio or ArcPy, and/or testing frameworks like Pytest • Familiarity with GIS concepts, spatial data, and geospatial workflows • Basic understanding of machine learning and deep learning workflows • Effective project management, time management, and organizational skills • Technical writing skills and experience authoring samples, blog posts, and product documentation • Bachelor's in GIS, geography, engineering, computer science, math, or related fields • Existing work authorization for India • Master's in GIS, geography, engineering, computer science, math, or related fields • Strong knowledge of software QA methodologies, tools, and processes • Experience working in an Agile/Scrum development process • Hands-on experience with the ArcGIS suite of products or open-source GIS software • Experience with remote sensing, satellite imagery, and multispectral image analysis #LI-PK1 #LI-Hybrid