Job Description
The role involves developing, testing, and validating geospatial AI tools, models, and libraries to ensure high-quality, reliable software products for geospatial analysis, while collaborating with data scientists and engineers to enhance geospatial workflows and documentation.
Key Responsibilities
- Develop and implement test plans, test cases, and write test code for geospatial AI tools, models, and libraries
- Verify code changes, troubleshoot issues, and analyze test results to ensure software quality and stability
- Collaborate with data scientists and engineers on testing, documentation, and release of geospatial AI products
- Develop tutorials, documentation, and presentations to demonstrate product features
- Create pre-trained geospatial AI models for imagery, 3D datasets, and text
Requirements
- 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 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 degree in GIS, geography, engineering, computer science, math, or related fields
- Existing work authorization for India
Benefits & Perks
Work environment perks (implied flexible work arrangements as it mentions hybrid work)
Opportunities for professional development through developing tutorials, documentation, and presentations
Inclusion in a diverse and innovative workplace culture
Potential for career growth in geospatial AI and software QA fields
Ready to Apply?
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