AIRA Matrix - Senior Engineer/Module Lead - Computer Vision/Machine Learning

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.

- Define and estimate technical solutions, document technical approach options and

recommendations.

- Lead module development, production support and maintenance activities

- Additionally, this role involves taking ownership of individual product development tasks.

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

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