Senior manager/ Manager - Remote Sensing and GIS

Please read the JD and email your resume with your Current CTC details to [email protected]/[email protected] Prerequisite ● Graduation or Master's degree in Agriculture ● Experience of 6-8 years in Remote Sensing & GIS ● Experience in Handling Government Projects in Agriculture and Crop Insurance. Technical Skills GIS & Remote Sensing, Spatial Analysis, Satellite Image Processing (Optical, Multispectral, Hyperspectral & SAR), Geospatial Data Analytics, AI/ML & Deep Learning for Remote Sensing Applications, Precision Agriculture, Crop Classification & Yield Estimation, Land Use/Land Cover (LULC) Mapping, Change Detection, Time-Series Analysis, Geospatial Modeling, Web GIS Development, Enterprise GIS, Spatial Database Management, Project Planning & Execution, Technical Proposal Development, Methodology Design, Technical Documentation , Quality Assurance, and Geospatial Decision Support Systems. Tools & Software Knowledge: GIS Platforms ● ArcGIS Pro, ArcMap, ArcGIS Online ● QGIS ● ERDAS IMAGINE Remote Sensing & Cloud Platforms ● Google Earth Engine (GEE) ● ESA SNAP ● MIDAS (Microwave Data Analysis Software) for SAR Processing ● Sentinel Hub ● Microsoft Planetary Computer ● AWS Earth Search STAC API Programming & Data Science ● Python (GDAL, Rasterio, GeoPandas, NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, OpenCV) ● R (terra, sf, raster, caret) UAV & Drone Processing ● Pix4D ● Agisoft Metashape ● DJI Terra (if applicable) Important Skillls ● Strong expertise in processing, analyzing, and interpreting satellite imagery from Optical, Multispectral, Hyperspectral, and Synthetic Aperture Radar (SAR) sensors for agriculture, forestry, water resources, disaster management, and environmental monitoring. ● Hands-on experience in crop classification, crop acreage estimation, crop health monitoring, crop phenology analysis, yield estimation, and agricultural intelligence using multi-source satellite data and field observations. ● Proficient in Python and R for geospatial analytics, remote sensing workflows, AI/ML model development, data preprocessing, automation, visualization, and large-scale geospatial data processing. ● Practical experience applying Machine Learning and Deep Learning techniques, including Random Forest, XGBoost, CatBoost, Support Vector Machines (SVM), CNNs, and other AI models for remote sensing and geospatial applications. ● Extensive experience in managing large-scale government, institutional, and enterprise geospatial projects, including PMFBY, YES-TECH, MNCFC, agricultural monitoring, crop insurance, and satellite- based decision-support initiatives. ● Strong capability in preparing technical proposals, RFP responses, project methodologies, work plans, cost estimations, technical reports, presentations, and client communications for government and private sector organizations. ● Proven leadership in building, mentoring, and managing multidisciplinary GIS & Remote Sensing teams while ensuring project quality, timely delivery, resource optimization, and stakeholder satisfaction. ● Extensive experience in remote sensing operations, including acquisition, preprocessing, analysis, validation, interpretation, and reporting of Optical, Multispectral, Hyperspectral, Thermal, and SAR satellite data, converting complex geospatial information into actionable insights, thematic maps, dashboards, and client-ready technical reports for strategic decision-making.