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Job Description
The Data Scientist at Esri will develop deep learning models and APIs for geospatial analysis using satellite imagery, leveraging libraries such as PyTorch. The role involves creating tools for geospatial AI and integrating them with ArcGIS to enhance data science and artificial intelligence applications.
Key Responsibilities
- Develop tools, APIs, and pretrained models for geospatial AI
- Integrate ArcGIS with popular deep learning libraries such as PyTorch
- Develop APIs and model architectures for computer vision and deep learning applied to geospatial imagery
- Author and maintain geospatial data science samples using ArcGIS and machine 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 6 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.
- Experience with Python machine learning and deep learning libraries such as PyTorch, Scikit-learn, NumPy, Pandas.
- Expertise in traditional and deep learning-based computer vision techniques with the ability to develop deep learning models for computer vision tasks including image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and more.
- Experience with convolutional neural networks such as VGG, ResNet, Faster R-CNN, Mask R-CNN, and others.
- 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.
- Experience in data visualization in Jupyter Notebooks using matplotlib and other libraries.
- Experience with hyperparameter-tuning and training models to a high level of accuracy.
- Bachelor's in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges.
- Existing work authorization for India.
Benefits & Perks
Compensation/salary range
Work schedule
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