ROLE
– Develop and operationalize agroecosystem models, data assimilation pipelines, and geospatial AI tools to extract agricultural and environmental from hyperspectral, multispectral, and SAR satellite/drone imagery.
– Design, experiment with, and validate deep learning models for crop type classification, crop stress detection, crop yield estimation, land use/land cover mapping, change detection, and urban monitoring.
– Execute end-to-end client projects in the agriculture and land monitoring domains from requirement scoping and data acquisition through model training, field validation, and delivery of actionable geospatial intelligence.
– Develop interactive geospatial visualizations, dashboards as needed and reports to communicate analytical results to technical and non-technical stakeholders.
– Stay current with the rapidly evolving GeoAI landscape, including new model architectures, benchmark datasets, and cloud-native geospatial standards.

REQUIREMENTS
– Bachelor’s or Master’s degree in Geospatial Science, Remote Sensing, Agriculture Science, Engineering, Computer Science, or a related technical field.
– 2 – 3 years of experience in geospatial analytics, applied remote sensing within the Earth Observation industry.
– Agriculture Domain Knowledge: Solid understanding of cropping patterns, crop phenological cycles, seasonal calendars, and farming practices.
– Remote Sensing & Spectral Analysis: Strong understanding of multispectral, hyperspectral, and SAR imagery, along with expertise in time-series analysis and multi-temporal compositing for crop and land monitoring.
– Machine Learning & Deep Learning: Practical experience with supervised and unsupervised classification, semantic segmentation, object detection, and change detection using frameworks such as PyTorch, TensorFlow, or scikit-learn.
– Programming: Proficiency in Python with geospatial libraries and ML libraries.
– Geospatial Data Handling: Minimum 2 – 3 years of hands-on industry experience working with large raster and vector datasets.
– GIS & Visualization: Proficiency with ArcGIS, QGIS, and/or PostGIS for spatial analysis and visualization.

BENEFITS
– Health insurance coverage
– Unlimited leaves & flexible working hours
– Role-based remote work and work-from-home benefit
– Relocation assistance
– Professional Mental Wellness services
– Creche facility for primary caregivers
– Employee Stock Options for all hires