Product Engineer - Geospatial Data Science

Esri
Delhi
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsEducation: bachelorsSkills: ["Technical writing","Project management","Time management","Organizational skills","Troubleshooting"]

Own the quality and usability of geospatial AI tools, models, and libraries. Design and execute test plans and cases, write and run test code, and certify software, SDKs, and AI models. Review test results, report stability and quality status, troubleshoot customer issues, and collaborate with data scientists and engineers on testing, documentation, and releases. Create samples, tutorials, and documentation, and help develop pre-trained geospatial AI models.

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FursaFursa
Esri
Esri
2 days ago

Product Engineer - Geospatial Data Science

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Own the quality and usability of geospatial AI tools, models, and libraries. Design and execute test plans and cases, write and run test code, and certify software, SDKs, and AI models. Review test results, report stability and quality status, troubleshoot customer issues, and collaborate with data scientists and engineers on testing, documentation, and releases. Create samples, tutorials, and documentation, and help develop pre-trained geospatial AI models.
Location: Delhi
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

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

Key Requirements

  • •2+ years in software development or QA, preferably in product-based or geospatial consulting environments.
  • •Hands-on QA experience including implementing test plans and developing or managing test automation and product certification.
  • •Proficiency in Python and Jupyter notebooks, plus GIS libraries such as 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; Bachelor’s degree in GIS/geography/engineering/computer science/math or related fields.
Experience:2+ yearsGeospatialGISMachine learningDeep learningQA
Education:Bachelor's in GIS, geography, engineering, computer science, math, or related fields
Skills:Technical writingProject managementTime managementOrganizational skillsTroubleshooting
Languages:English
Tech Stack:PythonJupyter notebooksGDALRasterioArcPyPytestGISArcGISMachine learningDeep learningAgileScrumRemote sensingSatellite imageryMultispectral image analysisSDKsAPIs

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Esri
Provides geographic information system (GIS) software, location intelligence, mapping tools, and spatial analytics to governments, businesses, and researchers for visualizing, analyzing, and managing geographic data.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Redlands, United States
Founded: 1969
Glassdoor
Glassdoor: 4.1
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