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Product Engineer - Geospatial Data Science - GeoAI

Esri
New Delhi, India
Full Time
Posted November 18, 2025
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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 components
  • 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 to demonstrate product features
  • Develop 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, possibly hybrid work as indicated by 'LI-Hybrid')
Opportunities for professional development through developing tutorials, documentation, and presentations
Inclusion and diversity initiatives
Equal opportunity employment

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