Data Scientist
Current• Add deep learning models to the ArcGIS Python API and integrate them seamlessly to be utilized by the users of various ArcGIS products.• Research the latest state-of-the-art models by reading technical papers and Github code repositories, and experimenting with the open-source code.• Test the models and the API during certification/release to identify bugs in the code and resolve them.• Add enhancements to the API to improve model performance or provide additional features for users.• Create pretrained models and publish them on the ArcGIS Living Atlas of the World for the users. Such models have a wide variety of applications, for eg. identifying objects or segment regions of interest in aerial and satellite imagery, OCR, detecting utility infrastructure in inspection imagery, etc.• Create documentation and guides for models integrated with the API and the published pretrained models.• Create sample notebooks to showcase the use of deep learning models in solving a problem.• Review documentation, guides, and code created by the team.