Senior / Principal Engineer (Image Processing, DL, CV)

Job Description

Job Description: Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning. Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology. Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images. To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents. Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc. Assign tasks to team members and monitor progress and performance management of the team members Lead module development, production support and maintenance activities Monitor, track and analyse module control metrics Work closely with data scientists and engineers to develop AI algorithms, models, and applications, ensuring they are scalable, efficient, and meet quality standards. Define and estimate technical solutions, document technical approach options and recommendations Candidate Profile: Academic background: PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background) B. Tech. / B.E. with exceptional academic/professional background Experience (Industrial / R&D) 8+ years of experience Specialization / Domain knowledge: Image Processing, Pattern Recognition, Computer Vision Machine Learning, Deep Learning Experience with Medical Image Processing is an added advantage Technical 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 Key Sills : Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, Image Processing, Neural Network To know more about us, do visit us at https://lnkd.in/egFmBSG4. Follow us on - https://www.facebook.com/airamatrix https://twitter.com/airamatrix