About the Role

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You will work on geospatial analytics, satellite data processing, and AI/ML models for Earth observation. The role involves building geospatial pipelines and visualization dashboards for environmental, sustainability, and defense applications.

Responsibilities

• Process satellite imagery (Sentinel, Planet, Maxar, Landsat).
• Build geospatial ML models for classification, segmentation, and anomaly detection.
• Develop interactive geospatial dashboards using Mapbox, Leaflet, or Cesium.
• Integrate geospatial APIs and large datasets into scalable systems.
• Collaborate with the engineering and AI teams to optimize workflows.

Requirements

• Strong Python skills (NumPy, Pandas, Rasterio, GDAL).
• Experience with Earth observation datasets and remote sensing.
• Knowledge of geospatial libraries (GeoPandas, Shapely).
• Familiarity with ML/DL frameworks (PyTorch/TensorFlow).
• Understanding of projections, coordinate systems, and spatial data processing.

Nice to Have

• Experience with cloud platforms (AWS, Google Earth Engine).
• Exposure to SAR processing and change detection.
• Knowledge of OGC standards.

Benefits

• Work with real satellite datasets.
• Opportunity to develop research-grade Earth observation systems.
• Certificate + recommendation based on performance.

How to Apply

‍Send your resume and portfolio to contact@earthsenselabs.com