Data Scientist - Natural Language Processing
EsriPosted June 17, 2025
New Delhi, India
Full Time
Job Description
The role involves developing AI and deep learning models for geospatial analysis, creating APIs and tools for satellite imagery processing, and integrating machine learning techniques with GIS platforms to enhance spatial data insights.
Responsibilities
- •Develop tools, APIs, and pretrained models for geospatial AI
- •Integrate ArcGIS with deep learning libraries such as PyTorch
- •Fine-tune large language models 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 libraries
- •Curate and pre-process data for deep learning models to transform into geospatial information
Requirements
- •2 to 6 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, and Pandas
- •Expertise in one or more of these areas: transformer-based models, Large Language Models (LLMs), and building applications using them
- •Experience with NLP-based tasks such as recommender systems, summarization, and related applications
- •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 and other top-tier engineering colleges
- •Existing work authorization for India
Benefits
- •Work environment perks (diverse and inclusive workplace)
- •Opportunities for learning, growth, and development
- •Participation in global social justice initiatives
- •Equal opportunity employment without discrimination
- •Reasonable accommodation for employment process
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