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Home›Jobs›Esri›Product Engineer - Geospatial Data Science - GeoAI
Esri

About Esri

Empowering organizations with spatial intelligence

🏢 Tech👥 5K-10K📅 Founded 1969📍 Redlands, California, United States

Key Highlights

  • Headquartered in Redlands, California
  • Over 350,000 users globally, including government and NGOs
  • Flagship product ArcGIS is a leader in GIS software
  • Approximately 10,000 employees dedicated to GIS innovation

Esri, headquartered in Redlands, California, is a leading provider of geographic information system (GIS) software, with over 350,000 users worldwide. Their flagship product, ArcGIS, is utilized by organizations across various sectors, including government, transportation, and environmental manageme...

🎁 Benefits

Esri offers comprehensive benefits including competitive salaries, equity options, generous PTO, flexible work arrangements, and a strong commitment t...

🌟 Culture

Esri fosters a culture focused on innovation in GIS technology, emphasizing collaboration and a commitment to sustainability. The company values commu...

🌐 Website💼 LinkedIn𝕏 TwitterAll 318 jobs →
Esri

Product Engineer - Geospatial Data Science - GeoAI

Esri • New Delhi R&D Center

Posted 10h ago🏛️ On-SiteMid-LevelProduct engineer📍 New delhi
Apply Now →

Skills & Technologies

AIData scienceDeep learningGeospatial analysis

Overview

Esri is hiring a Product Engineer specializing in Geospatial Data Science to develop AI models and tools for geospatial analysis. You'll work with cutting-edge technologies in New Delhi, focusing on delivering high-quality products. This role requires expertise in AI and data science.

Job Description

Who you are

You have a strong background in geospatial data science and AI, with experience in developing tools and APIs that enhance geospatial analysis. Your understanding of customer needs allows you to create solutions that are both innovative and practical. You are skilled in implementing deep learning techniques and have a passion for solving complex problems using data science. You communicate effectively, both in writing and presentations, ensuring that technical concepts are accessible to diverse audiences. You are detail-oriented and committed to delivering high-quality products that meet user expectations. You thrive in collaborative environments, working closely with geospatial analysts and data scientists to refine and enhance tools and models.

Desirable

Experience with ArcGIS or similar GIS software is a plus, as is familiarity with the latest research in spatial data science. A background in teaching or creating tutorials can enhance your contributions to the team. You are open to learning new technologies and methodologies that can improve product quality and usability.

What you'll do

As a Product Engineer at Esri, you will play a crucial role in the development and validation of geospatial AI tools and models. You will design and implement comprehensive test plans, ensuring that all software and SDKs meet rigorous quality standards. Your responsibilities will include writing test code and validating AI models, contributing to the overall reliability of our products. You will also document your processes and create tutorials to help users understand and leverage our tools effectively. Collaborating with cross-functional teams, you will gather requirements and feedback to continuously improve our offerings. Your work will directly impact how geospatial analysts utilize AI in their projects, making a significant contribution to the field of geospatial data science.

What we offer

At Esri, you will be part of a team that is at the forefront of geospatial technology. We provide a supportive environment that encourages innovation and professional growth. You will have access to cutting-edge tools and resources, allowing you to develop your skills and advance your career. Our commitment to work-life balance ensures that you can thrive both personally and professionally. Join us in our mission to revolutionize geospatial analysis and make a difference in the world through data science and AI.

Interested in this role?

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