Product Engineer - GIS Analyst

Overview

Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale? The GeoAI Data Science team at Esri's R&D Center in New Delhi is seeking a motivated and detail-oriented GIS Analyst to support the development and maintenance of our growing library of pretrained deep learning models. As a GIS Analyst, you will play a vital role in the collection, curation, and management of geospatial datasets used in training AI models for a wide range of applications—from building footprint extraction to oil spill detection and beyond.

If you are organized, analytical, and enthusiastic about enabling large-scale geospatial AI research through robust data workflows and documentation, this role is for you.

Responsibilities

• Design and automate robust geospatial data pipelines for ingesting, preprocessing, and transforming large-scale raster and vector datasets
• Script workflows to curate, cleanse, merge, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, vector datasets, and more)
• Develop tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability
• Format, index, and store datasets systematically to support training and evaluation of GeoAI models
• Assist in the creation of large-scale training datasets for deep learning projects
• Collaborate with ML engineers to support automated retraining pipelines and data augmentation strategies
• Analyze datasets to evaluate coverage, balance, and feasibility for model training and generalization
• Maintain internal datasets, catalogs, and documentation with a focus on reusability and QA/QC protocols
• Collaborate with product engineers and data scientists to develop training materials and documentation to assist the growing GeoAI user base
• Provide technical support to internal and external users working with pretrained models or contributing datasets

Requirements

• 2 to 6 years of experience working with geospatial datasets, including data preparation and labeling for machine learning or GIS applications
• Proficiency in Python scripting for automation of geospatial data processing pipelines and familiarity with packages like GDAL, rasterio, geopandas, pandas, NumPy, and Pyproj
• Experience working with ArcGIS Pro and/or Python-based open-source geospatial stacks (such as QGIS, GeoPandas, Earth Engine)
• Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring
• Ability to document workflows clearly and communicate technical information effectively
• A proactive mindset, with the ability to work independently and manage multiple data-related tasks simultaneously
• Bachelor's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field
• Existing work authorization for India

Recommended Qualifications

• Master's degree in GIS, Geography, Remote Sensing, Geoinformatics, or a related field
• Experience working with satellite or aerial imagery, and large vector datasets; understanding of SAR and hyperspectral data is a bonus
• Familiarity with AI/ML workflows and model training pipelines
• Experience working on geospatial data labeling/annotation pipelines, especially in ML training workflows
• Familiarity with cloud-based geospatial data storage or compute frameworks (such as Google Earth Engine, AWS S3, STAC)

#LI-Hybrid

#LI-PK1