Data Scientist II - Natural Language Processing (NLP) Job Opportunity at Esri

Are you passionate about leveraging data science and artificial intelligence to tackle some of the world's most significant challenges? So are we! Esri is the global leader in geographic information systems (GIS) and the developer of ArcGIS, the premier mapping and analytics software utilized by 75 percent of Fortune 500 companies. At the Esri R&D Center in New Delhi, we are harnessing cutting-edge AI and deep learning techniques to revolutionize geospatial analysis, extracting valuable insights from imagery and location data.

About the Role

As a Data Scientist at Esri, you will play a pivotal role in developing deep learning models using libraries such as PyTorch and creating APIs and tools for deploying them on satellite imagery. If you have a passion for deep learning applied to remote sensing and GIS, developing AI and deep learning models, and enjoy working with maps or geospatial datasets/imagery, this is the perfect opportunity for you!

Key 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
• Create 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 preprocess data for deep learning models and transform it into geospatial information
• Perform comparative studies of various deep learning model architectures

Qualifications

Requirements

• 2 to 5 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:
  • Experience with transformer-based models
  • Experience with large language models and building applications using them
  • Experience working on NLP tasks such as recommender systems, summarization, etc.
• 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 degree in computer science, engineering, or related disciplines from IITs or other top-tier engineering colleges
• Existing work authorization for India

Recommended Qualifications

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

About Esri

At Esri, diversity is more than just a word on a map. When employees with different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in a diverse workforce unified under our mission of creating positive global change. Diversity, equity, and inclusion are not destinations but ongoing processes. We are committed to continual learning, growth, and making our workplace where every employee can contribute their best work. Our commitment to these principles extends to the global communities we serve, creating positive change through GIS technology.

If you don't meet all of the preferred qualifications for this position, we encourage you to apply anyway!

Esri is an equal opportunity employer (EOE). All qualified applicants will receive consideration for employment regardless of 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 and let us know the nature of your request and your contact information. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.