Product Engineer - GIS Analyst

New Delhi
Permanent
Full-time

1 day ago

OverviewAre 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

Esri

Apply Now