responsibilities
● build and mentor the computer vision team at checko
● drive to productionize algorithms (industrial level) developed through hard-core research
● own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
● leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
● entrepreneurial and out-of-box thinking essential for a technology startup
● guide the team for unit-test code for robustness, including edge cases, usability, and general reliability
eligibility
● b. tech in computer science and engineering/electronics/electrical engineering, with demonstrated interest in image processing/computer vision (courses, projects etc) and 6-8 years of experience
● m. tech in computer science and engineering/electronics/electrical engineering, with demonstrated interest in image processing/computer vision (thesis work) and 4-7 years of experience
● in computer science and engineering/electronics/electrical engineering, with demonstrated interest in image processing/computer vision (ph. d. dissertation) and inclination to working in industry to provide innovative solutions to practical problems
requirements
● in-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers
● experience in feature extraction, object recognition and tracking, image registration, noise reduction, image calibration, and correction
● ability to understand, optimize and debug imaging algorithms
● understating and experience in opencv library
● fundamental understanding of mathematical techniques involved in ml and dl schemas (instance-based methods, boosting methods, pgm, neural networks etc.)
● thorough understanding of state-of-the-art dl concepts (sequence modeling, attention, convolution etc.) along with knack to imagine