Job Description:
The Remote Sensing Analyst role is key to unlocking insights from drone and satellite imagery. You’ll help industries like agriculture, environment, and infrastructure make smarter decisions by extracting valuable information from raw geospatial data.
Whether it’s detecting crop health with NDVI, monitoring land use changes, or creating datasets for AI-driven image classification, your work will fuel both research and real-world applications. This position combines technical expertise in geospatial analysis with the opportunity to contribute to AI systems that rely on high-quality imagery datasets.
Responsibilities:
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Process raw drone/satellite imagery into geospatial datasets.
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Calculate vegetation indices (NDVI, SAVI, etc.).
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Support ML engineers with training datasets.
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Produce client-ready reports and visualizations.
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Collaborate with GIS developers for mapping solutions.
Preferred Qualifications:
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Degree in Remote Sensing, GIS, Environmental Science, or equivalent.
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Proficiency with QGIS, ArcGIS, or Google Earth Engine.
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Strong data processing skills (Python, GDAL, Rasterio).
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Understanding of image classification techniques.
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Familiarity with machine learning for imagery.
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Experience with agricultural or environmental monitoring.
