Remote Sensing

7 days ago

Pune, India Tynksight Technologies Pvt ltd Full time

Description :About Company :We use Real Time Big Data Analysis, Digital Technology, GIS Mapping combined with Satellite/Drone Imagery, Remote Sensing and Weather Data to create innovative products. We provide advanced technology solutions to monitor crop health, estimate crop yield, perform end-to-end digital Crop Cutting Experiments (CCEs), Smart Sampling and also use Satellite/Drone data for Crop Loss Assessment. We are a group of young and talented agriculturists, remote sensing, GIS, Agri-insurance and IT professionals with ground-breaking ideas that we hope will contribute towards a better tomorrow.Job Title : Remote Sensing & GIS Python DeveloperLocation : Senapati Bapat Road, PuneAbout the Role :We are looking for a skilled Remote Sensing & GIS Python Developer to design, develop, and implement algorithms for agricultural applications using remote sensing and GIS data. The candidate will apply machine learning and deep learning techniques to extract actionable insights for agriculture, including crop monitoring and crop Classification, yield estimation, irrigation management, and land cover classification.Key Responsibilities :- Develop and implement Remote Sensing (RS) and GIS-based algorithms for agricultural data analysis.- Preprocess, analyze, and visualize satellite and UAV imagery (Sentinel, Landsat, LISS IV, etc.) for agricultural applications.- Build Machine Learning and Deep Learning models (e.g., Random Forest, XGBoost, CNN, UNet) for crop classification, disease detection, and yield prediction.- Integrate GIS spatial analysis into predictive modeling and decision-making pipelines.- Automate workflows for RS & GIS data processing using Python libraries like GDAL, Rasterio, Geopandas, Shapely, Earth Engine API.- Work with multi-temporal and multi-spectral datasets for generating agricultural insights.- Collaborate with agronomists and data scientists to validate models and improve accuracy.- Optimize algorithms for scalability and high-performance computing.- Prepare technical documentation, reports, and visualisations for stakeholders.Required Skills & Qualifications :- Strong proficiency in Python for data analysis, algorithm development, and automation.- Hands-on experience in Remote Sensing and GIS using tools like QGIS, ArcGIS, and Google Earth Engine (GEE).- Experience with ML/DL frameworks : TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost.- Knowledge of image processing, spectral indices (NDVI, EVI, SAVI), SAR, and multispectral/hyperspectral data analysis.- Ability to handle vector and raster datasets, perform spatial joins, projections, buffering, and zonal statistics.- Understanding of agricultural science, crop phenology, and field-level monitoring.- Strong problem-solving skills, algorithmic thinking, and attention to detail.- Familiarity with cloud computing and APIs for satellite data (Google Earth Engine, AWS, Sentinel Hub).- Good communication skills to collaborate with multi-disciplinary teams.Preferred Qualifications :- M.Tech or M.Sc. in Geoinformatics, Remote Sensing, GIS, Geography Msc, Engineering, or related disciplines.- Experience with field data collection and validation.- Background in precision agriculture applications.- Prior experience handling large-scale agricultural RS/GIS projects.- Knowledge of time-series analysis for crop monitoring and seasonal variability (ref:hirist.tech)

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