Role & responsibilities Design and implement custom algorithms for image analysis using deep learning and machine learning. Work extensively with remote sensing data , including multispectral and satellite imagery . Process and analyze large-scale image datasets using Python and ML frameworks. Apply computer vision techniques for tasks like classification, segmentation, and feature extraction. Use geospatial tools like GDAL to manage and analyse spatial datasets. Collaborate with cross-functional teams to deploy scalable image processing solutions. Preferred candidate profile Proficient in Python with hands-on experience in libraries like OpenCV, NumPy, and Pandas Strong background in deep learning frameworks TensorFlow, Keras, PyTorch Solid understanding of remote sensing concepts and working with multispectral/hyperspectral imagery Experience in handling and analyzing large volumes of geospatial data Strong foundation in applied mathematics and statistics Familiarity with AutoEncoders and GDAL is a strong plus

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Image Processing & Deep Learning Engineer (with Remote Sensing Expert)