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 to verify software, SDKs, and AI models.
- Review and analyze test results, report on software quality and stability, and certify product quality.
- Troubleshoot and triage customer issues, analyze user feedback for improvements.
- Collaborate with data scientists and engineers on testing, documentation, and release of geospatial AI tools and models.
- Create tutorials, documentation, samples, and presentations of product features.
- Develop pre-trained geospatial AI models for imagery, 3D datasets, and text.
Requirements
- 2 to 6 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 (diversity and inclusion initiatives, positive global change focus)
Opportunities for learning, growth, and contribution to impactful projects
Flexible work arrangements (implied by hybrid work mention)
Ready to Apply?
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