Job
Description
As a member of the Application Development Team at AIRA Matrix, your role will involve designing and developing robust, efficient, and real-time algorithms for Analysis and Classification of Medical Images. You will utilize state-of-the-art techniques from Image Processing, Pattern Recognition, Computer Vision, and Machine Learning to create innovative solutions for various problems related to Segmentation, Detection, classification, and quantification of high-resolution colored images for applications in Digital Pathology. Your responsibilities will also include designing efficient models in Machine Learning / Deep Learning for accurate analysis and classification of high-resolution Images. It is essential for you to stay updated on emerging technology trends and apply them in projects to achieve better results leading to publications and patents. Additionally, you will have the opportunity to explore new areas such as Expert Systems, Cognitive Computing, Artificial Intelligence, and Computational Photography. Your role will also involve providing technical guidance to the team. Qualifications required for this role include a PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background) or B. Tech. / B.E. with exceptional academic/professional background. Specialization / Domain knowledge in Image Processing, Pattern Recognition, Computer Vision, Machine Learning, and Deep Learning is essential. Experience with Medical Image Processing is considered an added advantage. Key Responsibilities: - Design and development of robust, efficient, and real-time algorithms for Analysis and Classification of Medical Images - Development of innovative solutions for problems related to Segmentation, Detection, classification, and quantification of high-resolution colored images - Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of high-resolution Images - Stay updated on emerging technology trends and apply them in projects for better results - Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography - Provide technical guidance to the team 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 background - Specialization / Domain knowledge in Image Processing, Pattern Recognition, Computer Vision, Machine Learning, and 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 any of C, C++, Python, JAVA etc. - Hands-on experience in using Deep Learning frameworks and libraries - Concepts of parallel architecture on GPU is an added advantage You will be a valuable addition to the AIRA Matrix team, contributing to the development of innovative solutions that improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology, and ophthalmology workflows across pharmaceutical and healthcare laboratories.,
