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ESRI

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Data Scientist - GeoAI

location_onIndia (On-site)
schedulePosted today
workInternship
bar_chartMid
3DAIAPIsArcGISArcGIS OnlineArcGIS ProArcGIS ServerDeep LearningGeoAIGeospatialGeospatial Data ScienceGISImage ClassificationJavaMachine LearningPoint CloudPythonSatellite Data ProcessingSpatial DataUAV Data ProcessingWebGIS

About the Role

Responsibilities Develop tools, APIs and pretrained models for geospatial AI Integrate ArcGIS with popular deep learning libraries such as PyTorch Develop foundation models for computer vision, language, location and multimodal data Develop AI Agents / Assistants to perform various GIS tasks Author and maintain geospatial data science samples using ArcGIS and machine learning/deep learning libraries Curate and pre/post-process data for deep learning models and transform it into geospatial information Perform comparative studies of various deep learning model architectures Requirements 2 to 8 years of experience with Python, in data science and deep learning Self-learner with coursework in and extensive knowledge of machine learning and deep learning Expertise in one or more of the following areas: + Traditional and deep learning-based computer vision techniques with the ability to develop deep learning models for computer vision tasks (image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and more) + Transformer models applied to computer vision and natural language processing + Expertise in 3D deep learning with Point Clouds, meshes, or Voxels with the ability to develop 3D geospatial deep learning models, such as PointCNN, MeshCNN, and more + Development of AI assistants / Agents to perform specific tasks + Building from the scratch / finetuning, multi modal foundation models Experience with hyperparameter-tuning and training models to a high level of accuracy Bachelor's degree in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges Existing work authorization in India Recommended Qualifications Experience applying deep learning to satellite or medical imagery or geospatial datasets Familiarity with ArcGIS suite of products and concepts of GIS Practical experience applying deep learning concepts from theory to code, evidenced by at least one significant project (internship, research, or personal portfolio) Education Qualifications G-Spatial Domains G-Spatial Related Domains Required Skills & Tools ArcGIS Pro ArcGIS Server Java Script API ArcGIS Server Administration Python ArcGIS-ArcObjects SDK Java ArcGIS Online Core Concepts GIS Fundamentals WebGIS
domain

ESRI

Leading-edge innovations and technical excellence in the geospatial domain.