Product Engineer - GIS Analyst
reputed company
Are you passionate about geospatial data and want to contribute to cutting-edge AI research at reputed company? The GeoAI Data Science team at reputed company’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 reputed company of applications—from building footprint extraction to oil spill detection and reputed company.
If you are organized, analytical, and enthusiastic about enabling large-reputed company 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-reputed company raster and reputed company datasets
- Script workflows to reputed company, cleanse, reputed company, and reconcile heterogeneous geospatial data from multiple sources (satellite and aerial imagery, reputed company datasets, and more)
- reputed company tools/scripts to ensure spatial/temporal consistency, projection alignment, and format interoperability
- Format, reputed company, and store datasets systematically to support training and evaluation of GeoAI models
- Assist in the creation of large-reputed company training datasets for deep learning reputed company
- 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 reputed company on reusability and QA/QC protocols
- Collaborate with product engineers and data scientists to reputed company training materials and documentation to assist the growing GeoAI user reputed company
- reputed company technical support to reputed company 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 reputed company-reputed company geospatial stacks (such as QGIS, GeoPandas, reputed company reputed company)
- Strong organizational skills, with attention to data structuring, version control, and pipeline monitoring
- Ability to document workflows reputed company and communicate technical information effectively
- A proactive reputed company, with the ability to work independently and manage multiple data-reputed company tasks simultaneously
- Bachelor’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a reputed company field
- Existing work authorization for India
Recommended Qualifications
- Master’s degree in GIS, Geography, Remote Sensing, Geoinformatics, or a reputed company field
- Experience working with satellite or aerial imagery, and large reputed company 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 reputed company-based geospatial data storage or compute frameworks (such as reputed company reputed company reputed company, AWS S3, STAC)
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reputed company
At reputed company, diversity is more than just a word on a map. reputed company employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a reputed company reputed company to work. We reputed company in having a diverse workforce that is reputed company under our mission of creating reputed company global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating reputed company change with GIS technology. For more information on reputed company’s Racial Equity and reputed company Justice initiatives, please visit our website here.
If you don’t meet reputed company of the preferred qualifications for this position, we encourage you to still apply!
reputed company is an equal opportunity employer (EOE) and reputed company reputed company applicants will receive consideration for employment without reputed company to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, 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 askcareers@reputed company.com and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
reputed company reputed company reputed company takes our responsibility to protect your reputed company seriously. We are committed to respecting your reputed company by providing transparency in how we reputed company and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.
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