Job Location: Bangalore/Bengaluru
- The role is responsible for design and development of robust, efficient and real-time algorithms for the Analysis and Classification of Images captured using various mobile devices using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning, Deep Learning.
Functional Context:
- The product team is responsible for implementing strategy, turn data insights into products, building the roadmap with actionable outcomes
and defining product features. - They also make recommendations on which new technologies to invest in or leverage.
Role Expectations:
- Development of innovative solutions for various problems related to Segmentation, Feature Analysis and Classification of images for
applications in Digital signature identification - Research & Implementation of high-end efficient models in Machine Learning (e.g. Deep Learning) for accurate analysis and classification of images
- 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
Performance Indicators
- Achieving high accuracy in Image detections (bringing down the False Negatives)
- Keeping Solutions abreast with industry benchmarks
- Turn Around time in implementing newer Ideas into action
- Publishing white papers in the field and conducting knowledge sharing sessions
Minimum Entry Qualifications & Additional Certifications
- Bachelor s Degree in Engineering or Technology
Experience:
- Total IT Experience 8 years, Experience in Digital Image Processing 4 Years
Knowledge Areas:
Essential
- Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms
- Strong programming knowledge in Python
- Hands-on experience in using Deep Learning frameworks and libraries.
Good to Have
- Concepts of parallel architecture on GPU is an added advantage
Skills: Essential
- Image Processing
- Segmentation
- Pattern Recognition
- Computer Vision
- Machine Learning
- Neural Network
- Deep Learning
Good to Have
- Experience with Mobile Image Processing is an added advantage
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