Senior Engineer - Deep Learning/Computer Vision

Role Overview: You will be responsible for designing and developing robust, efficient, and real-time algorithms for the analysis and classification of medical images using state-of-the-art techniques from image processing, pattern recognition, computer vision, and machine learning. Your role will involve developing innovative solutions for various problems related to segmentation, detection, classification, and quantification of high-resolution colored images for applications in digital pathology. Additionally, you will design efficient models in machine learning/deep learning for accurate analysis and classification of high-resolution images. It is essential to stay updated on emerging technology trends and apply them in projects for improved results leading to publications and patents. You will also have the opportunity to explore new areas such as expert systems, cognitive computing, artificial intelligence, and computational photography. Key Responsibilities: - Designing and developing robust, efficient, and real-time algorithms for the analysis and classification of medical images - Developing innovative solutions for segmentation, detection, classification, and quantification of high-resolution colored images - Designing efficient models in machine learning/deep learning for accurate analysis and classification of high-resolution images - Staying updated on emerging technology trends and applying them in projects for better results - Exploring new areas such as expert systems, cognitive computing, artificial intelligence, and computational photography Qualifications Required: - PhD/M.Tech./M.E./M.C.A. (preferably from CSE/IT/ECE/EE background) or B.Tech./B.E. with exceptional academic/professional knowledge in image processing, pattern recognition, computer vision, machine learning, deep learning. Experience with medical image processing is an added advantage - Hands-on experience in developing and implementing image processing and machine learning algorithms - Strong programming knowledge in C, C++, Python, JAVA, etc. - Hands-on experience in using deep learning frameworks and libraries - Knowledge of concepts of parallel architecture on GPU is an added advantage Additional Details of the Company: The company is focused on cutting-edge research and development in the field of medical image analysis using advanced technologies like image processing, pattern recognition, computer vision, and machine learning. They encourage continuous learning and innovation to drive impactful results and contribute to patents and publications. The team explores various domains such as expert systems, cognitive computing, artificial intelligence, and computational photography to stay ahead in the industry.,