Product Engineer 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.

1-5 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.

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!.

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.

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Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.

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We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.

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