Product Engineer II - Geospatial Data Science

Overview

Are you passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges? So are we! 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&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data.

Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI, and geospatial deep learning. Our product engineers provide a strong technical voice in the product development process and use the best tools available to build highly reliable, sustained, and evolutionary software.

As a Product Engineer, you will help us design, build, and deliver geospatial AI tools, models, and libraries. This work will include performing, documenting, and teaching a wide variety of technical tasks, developing best practices, creating tutorials and documentation, and gathering requirements. If you are passionate about geospatial AI, have a deep understanding of the product and customer needs, and communicate effectively via writing and presentations, this is the place to be!

Responsibilities

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

Requirements

• 2 to 5 years of industry experience in software testing, development, or technical writing
• Proven data science and AI skills with Python, PyTorch and Jupyter Notebooks
• Experience developing and implementing test plans and test automation framework
• Fundamental understanding of machine learning and deep learning
• Excellent problem-solving and analytical skills
• Effective project management, time management, and organizational skills
• Excellent technical writing skills and experience authoring samples, blog posts, and product documentation
• Bachelors in GIS, geography, engineering, computer science, math, or related fields

Recommended Qualifications

• Masters in GIS, geography, engineering, computer science, math, or related fields
• Strong knowledge of software QA methodologies, tools, and processes
• Experience working in an Agile/Scrum development process
• Familiarity with ArcGIS suite of products and concepts of GIS
• Experience with remote sensing and multispectral image analysis

About Esri

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.

Esri is an equal opportunity employer (EOE), and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

If you need a reasonable accommodation for any part of the employment process, please email askcareers@esri.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.