Related skills
python pytest jupyter arcgis geospatial ai📋 Description
- Develop and implement test plans and tests; verify changes to maintain quality
- Review test results; report quality; certify software/SDK/AI model quality
- Troubleshoot customer issues; analyze feedback to identify improvements
- Collaborate with data scientists/engineers on testing, docs, APIs, and pretrained models
- Develop samples, tutorials, documentation, and presentations of features
- Develop geospatial AI models for imagery, 3D data and text
🎯 Requirements
- 1+ years of industry experience in a software development or QA environment, preferably in product-based or geospatial consulting companies
- Hands-on 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
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