We are looking for a highly skilled Senior Geospatial Engineer with strong expertise in remote sensing, geospatial analytics, and Earth Observation (EO) data processing, with hands-on experience in Hyperspectral Imaging (HSI) and Thermal Infrared (TIR) datasets. You will play a key role in developing scalable geospatial intelligence solutions by processing multi-sensor satellite imagery and transforming complex Earth observation data into production-ready applications.
You will collaborate closely with software engineers, AI/ML engineers, and data scientists to design and deliver innovative geospatial products for environmental monitoring, agriculture, mining, disaster management, defence, and other Earth observation applications.
Your Expertise Includes
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Strong expertise in Remote Sensing and Geospatial Data Analysis
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Hands-on experience with Hyperspectral Imaging (HSI) and Thermal Infrared (TIR) data processing and interpretation
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Advanced knowledge of image preprocessing, calibration, atmospheric correction, and spectral analysis
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Experience with remote sensing software such as ENVI, ArcGIS, QGIS, SNAP, or similar platforms
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Strong programming skills in Python using geospatial libraries such as GDAL, Rasterio, NumPy, OpenCV, GeoPandas, and related frameworks
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Experience in raster and vector data processing, spatial analysis, and geospatial visualization
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Knowledge of Machine Learning and Deep Learning techniques for remote sensing applications
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Familiarity with satellite data formats, preprocessing workflows, and geospatial data pipelines
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Experience handling large-scale geospatial datasets in cloud environments (AWS preferred)
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Exposure to SAR, multispectral, or LiDAR datasets is an added advantage
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Knowledge of Geospatial AI, Foundation Models, or GenAI applications is a plus