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AIRA Matrix
4 weeks ago
Job Description :
- 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.
- Define and estimate technical solutions, document technical approach options and Lead module development, production support and maintenance activities
- Additionally, this role involves taking ownership of individual product development 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
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
(ref:hirist.tech)
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