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) colored 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.
- Develop computer vision algorithms on medical imaging data with image processing and deep learning/neural networks techniques towards image segmentation, image classification and 3D reconstruction.
- Develop NLP algorithms to classify and summarize structured/unstructured text data
- The candidate will interact with clinicians and other functional experts to develop a reasonable understanding of the underlying clinical/business concepts for the given problem domain. The candidate will then conceive, develop, deploy, validate and evaluate models to accurately reflect the underlying concept.
- Build comprehensive models to identify and track key levers of business performance
- Design visuals to effectively represent the data models and analyses to provide a clear structure for decision making
- Drive adoption and deploy change management initiatives for higher usage of business analytics tools
- Interact with various business heads and function heads to get a detailed understanding of process flows and tracked metrics under their respective verticals
- Synthesize and communicate main findings and conclusions through business review meetings in a way that these serve as helpful input for the leadership
- Ideate and continuously refine comprehensive models and help construct dashboards and reports for various verticals
Candidate Profile:
Academic background:
- M. Tech. / M.E. / M.C.A.
- B. Tech. / B.E. with exceptional academic/professional background
Experience (Industrial / R&D)
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
- 2+ years of experience on Python
- Strong programming knowledge in any of C, C++, 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 Roles and Responsibilities
Location _ DELHI
**Candidates should be ready to relocate to DELHI as this a Work From Office opportunity.**