Product Engineer - GIS Analyst
Product Engineer - GIS Analyst
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Job Description
Overview
Are you passionate about geospatial data and want to contribute to cutting-edge AI research at scale The GeoAI Data Science team at Esris 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 applicationsfrom 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
- Bachelors degree in GIS Geography Remote Sensing Geoinformatics or a related field
- Existing work authorization for India
Recommended Qualifications
- Masters 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)
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Required Experience:
IC
Employment Type
Full Time
