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

Role & responsibilities Job Purpose: To process, validate, and ensure the accuracy of power line transmission network data using customized client software. The role involves verifying the correct detection and logical connection of components such as poles, stays, and catenaries based on data captured from field or survey inputs using Point Cloud Data. Key Responsibilities: Process and review power transmission line data using customized client-specific software tools. Verify if the topology is correctly detected , ensuring proper connectivity between transmission elements. Ensure poles are correctly captured and mapped in alignment with survey data. Check whether stays (support structures) are accurately positioned and linked to the correct poles. Validate the catenaries (overhead wires) to confirm they are logically and spatially connected between poles. Identify and report any inconsistencies or errors in network connectivity or component placement. Follow standard operating procedures (SOPs) provided by the client. Coordinate with QA/QC teams for feedback and corrections. Meet daily or weekly processing targets and maintain quality benchmarks. Preferred candidate profile Diploma / Graduate in Engineering (Electrical, Civil, or related field) or Science background preferred Strong analytical and observation skills Basic understanding of power transmission line components (Poles, Stays, Catenaries, etc.) Familiarity with GIS concepts is an added advantage Ability to work with customized or client-specific software platforms Attention to detail and accuracy in repetitive tasks Willingness to learn new software tools and domain-specific standards Good communication skills for reporting issues and clarifications Preferred Experience: 01 years of experience in GIS , Lidar Classification, Utility Mapping, or Infrastructure Data Processing Experience working with transmission line or electrical infrastructure data is a plus