corporate_fare
ESRI
verifiedVerified ListingData 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.