Data Scientist II - Computer Vision
- Esri
- 2 - 7 years
- Delhi, NCR
- 2 months ago
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Job Description
As a Data Scientist, you will develop deep learning models using libraries such as PyTorch and create APIs and tools for training and deploying them on satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, and 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 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/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+ 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 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)
- Convolutional neural networks such as VGG, ResNet, Faster R-CNN, Mask R-CNN, and others
- Transformer models applied to computer vision
- 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
- Bachelors in computer science, engineering, or related disciplines from IITs and other top-tier engineering colleges
- Existing work authorization for 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time
Contact Details:
Company: EsriLocation(s): Delhi, NCR
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Keyskills: GIS Computer science Computer vision Neural networks Artificial Intelligence Machine learning Remote sensing Analytics Python Arcgis
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