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.As a Data Scientist, you will develop foundation and task specific deep learning models for various modalities of GIS data including Satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, love maps or geospatial datasets/imagery, this is the place to be!Please mention the word **SPELLBOUND** and tag ROTUuMjE2LjE3MS4xNjM= when applying to show you read the job post completely (#ROTUuMjE2LjE3MS4xNjM=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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Role Overview
As a Data Scientist at Esri, you will focus on developing deep learning models specifically for geospatial analysis, utilizing satellite imagery and various GIS data modalities. This mid-level role involves collaborating with a team of AI and data science experts to create tools and APIs that enhance the capabilities of geospatial analysts. Your work will directly impact the advancement of AI in geographic information systems.
Perks & Benefits
Esri offers a collaborative and innovative work environment with a strong emphasis on applying cutting-edge technology to real-world problems. While the posting does not specify remote work details, typical tech roles often provide flexible working arrangements. Opportunities for career growth and development are implied through the focus on advanced AI and deep learning techniques, fostering a culture of continuous learning.
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