... or Sentinel-2 * Intermediate understanding of workflows for training, validating GeoAI deep ... Experience researching or adopting foundation models such as Prithvi * Experience with one or more ...
... or Sentinel-2 * Intermediate understanding of workflows for training, validating GeoAI deep ... Experience researching or adopting foundation models such as Prithvi * Experience with one or more ...
... Sentinel). * Uses prebuilt dashboards and analytics to identify potential issues (service ... ITIL Foundation required * CompTIA CySA+ preferred * Splunk Power User preferred * Certified ...
... Sentinel). * Uses prebuilt dashboards and analytics to identify potential issues (service ... ITIL Foundation required * CompTIA CySA+ preferred * Splunk Power User preferred * Certified ...
Sentinel Foundation information
What is the difference between Sentinel Foundation vs Sentinel Technician?
| Aspect | Sentinel Foundation | Sentinel Technician |
|---|---|---|
| Certifications | Typically requires foundational certifications in security or surveillance systems | Requires technical certifications related to installation, maintenance, and troubleshooting |
| Work Environment | Primarily involved in planning, system design, and overseeing security infrastructure | Hands-on role involving installation, repair, and maintenance of security equipment |
| Employer & Industry Usage | Used by security firms, government agencies, and large organizations for security system planning | Employed by security companies, tech firms, and installation services for technical tasks |
The Sentinel Foundation role focuses on planning and overseeing security systems, while the Sentinel Technician handles the technical installation and maintenance. Both roles are essential in the security industry but differ in responsibilities and required skills.
What are some unique challenges faced by professionals working at the Sentinel Foundation, and how can applicants prepare to address them?
What are the key skills and qualifications needed to thrive as a Sentinel Foundation cybersecurity professional, and why are they important?
What is a Sentinel Foundation?
Esri rating
9.6
Based on 14 frontline employees who took The Breakroom Quiz
5th of 217 rated software companies
Job description
Overview
As modern software increasingly incorporates AI and deep learning capabilities, Esri's Imagery development team is looking for passionate engineers to help design, build, and test cutting-edge AI features in ArcGIS Enterprise and ArcGIS Online for Imagery, Remote Sensing, and Photogrammetry workflows. The evolution of our imagery software includes GeoAI models that draw insights from remote sensing data, AI assistants that boost user productivity and usability, and AI agents that enable workflow automation.
You will collaborate with software developers and product engineers to create market-leading AI features for users of ArcGIS Enterprise with Image Server and ArcGIS Online imagery capabilities. In this role, you will gather user requirements, design AI features spanning backend services to frontend user experience, create automated tests, and build demos and tutorials that help users apply modern geospatial AI models and LLMs to their imagery dissemination, visualization, and analytics workflows. This is an exciting opportunity to build new AI software solutions for the web and cloud.
Responsibilities
- Gather user and market requirements for AI and deep learning enhancements across imagery data management, visualization, and analytics workflows
- Design, develop, and automate quality and performance testing for AI-focused web applications in ArcGIS Enterprise and ArcGIS Online, such as Deep Learning Studio
- Help design, develop, and test enterprise and cloud DevOps services that support AI features for imagery
- Analyze daily test results and report quality status to the team
- Recommend and document best practices for enterprise and cloud deployment patterns that enable AI and deep learning use cases
- Become an expert in integrating ArcGIS AI features with modern cloud platforms, including Amazon AWS, Microsoft Azure, and Databricks
Requirements
- 2+ years experience in test automation development skills in Java, JavaScript, C#, or Python
- Knowledge of imagery formats and remote sensing data modalities from modern sensors such as Landsat or Sentinel-2
- Intermediate understanding of workflows for training, validating GeoAI deep learning models
- Understanding of inferencing at scale with GeoAI deep learning models
- Excellent writing and communication skills
- Eagerness and ability to learn new skills and contribute to building quality commercial software
- Bachelor's degree in computer science, geography, remote sensing, or a related field
Recommended Qualifications
- Experience in system integration or test engineering
- Hands-on experience training and deploying GeoAI models for imagery or remote sensing data
- Experience developing AI skills and agents for imagery or remote sensing workflows
- Experience solving GIS, remote sensing, or photogrammetry data analysis problems
- Experience researching or adopting foundation models such as Prithvi
- Experience with one or more cloud platforms (AWS, Microsoft Azure, Google Cloud, and more)
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About ESRI
Sourced by ZipRecruiter
Our passion for improving quality of life through geography is at the heart of everything we do. Esri's geographic information system (GIS) technology inspires and enables governments, universities, and businesses worldwide to save money, lives, and our environment through a deeper understanding of the changing world around them.
Industry
Scientific research and development services
Company size
1,001 - 5,000 Employees
Headquarters location
Redlands, CA, US
Year founded
1969