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Job Description
A Data Scientist at Esri develops AI and deep learning models for geospatial data analysis, including satellite imagery, to enhance GIS tools and applications. The role involves creating APIs, integrating with mapping software, and applying advanced computer vision and 3D deep learning techniques to solve spatial data challenges.
Key Responsibilities
- Develop tools, APIs, and pretrained models for geospatial AI
- Integrate ArcGIS with deep learning libraries such as PyTorch
- Create foundation models for computer vision, language, location, and multimodal data
- Develop AI agents and assistants for GIS tasks
- Author and maintain geospatial data science samples using ArcGIS and machine learning libraries
- Curate and pre/post-process data for deep learning models to generate geospatial information
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 such as image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and more
- Experience with 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 or agents to perform specific GIS tasks
- Building from scratch, finetuning, and 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
Benefits & Perks
Compensation/salary range not specified
Work schedule not specified
Work environment perks not specified
Opportunity to work with cutting-edge AI and deep learning techniques
Involvement in innovative geospatial analysis projects
Potential for professional growth in AI, deep learning, and GIS technologies
Work at a reputed organization (Esri) with a global impact
Ready to Apply?
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