Esri
Technology
ProductEngineeringInternship-GeoAIWorkflows
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Product Engineering Internship - GeoAI Workflows at Esri. Skills: GeoAI Workflows, Geospatial AI, Python, Machine Learning. Report status on software quality. Test software quality”
Industry & Context.
Problem-solving skills; Analytical skills; Troubleshooting; Issue triage
What They're Looking For.
Must Have
Pursuing Bachelor’s, Master’s, or PhD degree, Basic knowledge of GIS, Basic knowledge of remote sensing, Basic knowledge of geospatial workflows, Experience programming in Python, Familiarity with machine learning concepts, Familiarity with deep learning concepts, Understanding of data analysis workflows, Understanding of visualization workflows, Interest in AI model evaluation, Interest in AI model benchmarking, Interest in AI model testing, Existing work authorization in India
Nice to Have
Knowledge of software QA methodologies, Knowledge of software QA tools, Knowledge of software QA processes, Experience working in Agile/Scrum, Hands-on experience with ArcGIS suite, Hands-on experience with open-source GIS software, Experience with remote sensing, Experience with satellite imagery, Experience with multispectral image analysis
What You'll Do.
Report status on software quality
Test software quality
Certify software quality
Test AI model quality
Certify AI model quality
Troubleshoot customer issues
Triage customer issues
Analyse user feedback
Collaborate on testing tools
Collaborate on documenting tools
Collaborate on releasing tools
Collaborate on testing APIs
Collaborate on documenting APIs
Collaborate on releasing APIs
Collaborate on testing pretrained models
Collaborate on documenting pretrained models
Collaborate on releasing pretrained models
Develop documentation
Develop presentations
Develop pre-trained geospatial AI models
How You'll Work.
Team & Collaboration
Data scientists; Engineers
Communication Scope
Written communication; Verbal communication
Process & Methodology
Agile, Scrum
Full Job Description
Overview Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R report status on software quality and stability; test and certify software, SDK, and AI model quality Troubleshoot and triage customer issues, analyse user feedback to identify areas for improvement Collaborate with data scientists and engineers on the testing, documentation and release of tools, APIs and pretrained models for geospatial AI Develop samples, tutorials, documentation, blog posts and presentation of product features Develop pre-trained geospatial AI models for imagery, 3D datasets and text Requirements Pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, GIS, Data Science, Artificial Intelligence, or a related technical field Basic knowledge of GIS, remote sensing, and geospatial workflows Experience programming in Python Familiarity with machine learning or deep learning concepts Understanding of data analysis and visualization workflows Interest in AI model evaluation, benchmarking, and testing methodologies Strong problem-solving and analytical skills Good written and verbal communication skills Existing work authorization in India Recommended Qualifications Strong knowledge of software QA methodologies, tools, and processes Experience working in an Agile/Scrum development process Hands-on experience with the ArcGIS suite of products or open-source GIS software Experience with remote sensing, satellite imagery, and multispectral image analysis #LI-Onsite #LI-PK1 The Company At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclu
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