Overview
Are you passionate about applying data science and artificial intelligence to solve some of the world’s biggest challenges? So are we! Esri is the world leader in geographic information systems (GIS) and developer of ArcGIS, the leading mapping and analytics software used in 75 percent of Fortune 500 companies. At the Esri R&D Center-New Delhi, we are applying cutting-edge AI and deep learning techniques to revolutionize geospatial analysis and derive insight from imagery and location data.
Our team develops tools, APIs, and AI models for geospatial analysts and data scientists, enabling them to leverage the latest research in spatial data science, AI and geospatial deep learning.
As a Data Scientist, you will develop foundation and task specific deep learning models for various modalities of GIS data including Satellite imagery. If you are passionate about deep learning applied to remote sensing and GIS, developing AI and deep learning models, 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 foundation models for computer vision, language, location and multimodal data
- Develop AI Agents / Assistants to perform various GIS tasks
- 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 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 (image classification, object detection, semantic and instance segmentation, GANs, super-resolution, image inpainting, and more)
- 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 / Agents to perform specific tasks
- Building from the scratch / finetuning, 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
Recommended Qualifications
- Experience applying deep learning to satellite or medical imagery or geospatial datasets
- Familiarity with ArcGIS suite of products and concepts of GIS
- Practical experience applying deep learning concepts from theory to code, evidenced by at least one significant project (internship, research, or personal portfolio)
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The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
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