Job
Description
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 innovative solutions will address various problems related to Segmentation, Detection, classification, and quantification of high-resolution (~50K x 50K) 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 will be essential to stay updated on emerging trends of technology and apply them in projects for better results leading to publications and patents. You will also have the opportunity to explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography, etc. Key Responsibilities: - Develop and implement Image Processing and Machine Learning algorithms - Utilize strong programming knowledge in C, C++, Python, JAVA, etc. - Work with Deep Learning frameworks and libraries for hands-on experience - Apply concepts of parallel architecture on GPU for optimized performance 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, and Deep Learning - Experience with Medical Image Processing is an added advantage Additional Company Details: The company focuses on cutting-edge technology and encourages continuous learning and innovation. You will be part of a dynamic team that values expertise in Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, and Neural Network. (Note: Company details mentioned in the job description have been included for context) 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 innovative solutions will address various problems related to Segmentation, Detection, classification, and quantification of high-resolution (~50K x 50K) 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 will be essential to stay updated on emerging trends of technology and apply them in projects for better results leading to publications and patents. You will also have the opportunity to explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography, etc. Key Responsibilities: - Develop and implement Image Processing and Machine Learning algorithms - Utilize strong programming knowledge in C, C++, Python, JAVA, etc. - Work with Deep Learning frameworks and libraries for hands-on experience - Apply concepts of parallel architecture on GPU for optimized performance 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, and Deep Learning - Experience with Medical Image Processing is an added advantage Additional Company Details: The company focuses on cutting-edge technology and encourages continuous learning and innovation. You will be part of a dynamic team that values expertise in Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, and Neural Network. (Note: Company details mentioned in the job description have been included for context)
