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Job Description
A Data Scientist at Esri will develop AI and deep learning models for geospatial data analysis, including satellite imagery, and create tools and APIs to enhance GIS capabilities using advanced machine learning techniques.
Key Responsibilities
- Develop tools, APIs, and pretrained models for geospatial AI
- Integrate ArcGIS with deep learning libraries such as PyTorch
- Develop foundation models for computer vision, language, location, and multimodal data
- Create AI agents to perform various GIS tasks
- Author and maintain geospatial data science samples using ArcGIS and machine learning libraries
- Curate and preprocess geospatial data for deep learning models
- Perform comparative studies of deep learning model architectures
Requirements
- Minimum of 1 year 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 including image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and 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 similar architectures.
- Experience with building AI assistants or agents to perform specific tasks, including building models from scratch, finetuning, and developing multimodal foundation models.
- Experience with hyperparameter tuning and training models to achieve 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
Opportunities to work with cutting-edge AI and deep learning techniques
Involvement in innovative geospatial analysis projects
Diverse and inclusive workplace culture
Potential for professional growth and learning in GIS and AI fields
Ready to Apply?
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