Overview
Are you passionate about applying data science and artificial intelligence to solve some of the worlds 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!
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
- Bachelors 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)
#LI-Onsite
#LI-PK1
OverviewAre you passionate about applying data science and artificial intelligence to solve some of the worlds 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 Fortu...
Overview
Are you passionate about applying data science and artificial intelligence to solve some of the worlds 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!
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
- Bachelors 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)
#LI-Onsite
#LI-PK1
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