Data Scientist I - Natural Language Processing

Overview

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 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
• Fine-tune large language models (LLMs) for geospatial AI tasks and develop AI agents and assistants
• Develop APIs and model architectures for natural language processing and deep learning on unstructured text
• 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

• 1+ 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 these areas:
  • Experience with transformer-based models 
  • Large language models and experience building applications using them
  • Experience of working on NLP based tasks such as recommender system, summarization, 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

Recommended Qualifications

• Familiarity with ArcGIS suite of products and concepts of GIS
• Familiarity and experience using langchain/AutoGPT/BabyAGI

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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 askcareers@esri.com 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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