Product Engineer II - Geospatial Data Science

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&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. We are passionate about applying data science and artificial intelligence to solve some of the worlds biggest challenges.

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; analyze 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 analyze test results; report status on software quality and stability; and certify software, SDK, and AI model quality

Requirements
 2+ 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
 Bachelor's degree in GIS, geography, engineering, computer science, math, or related field
 Existing work authorization for India

Recommended Qualifications
 Master's degree in GIS, geography, engineering, computer science, math, or related field
 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

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 inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their lifes best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esris Racial Equity and Social Justice initiatives, please visit our website here.

If you dont meet all of the preferred qualifications for this position, we encourage you to still apply!


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