Computer vision Scientist at Checko

Responsibilities

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

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 new schemas that work for the given data.

Understanding of engineering principles and a clear understanding of data structures and algorithms

Experience in writing production level codes using either C++ or Java

Experience with technologies/libraries such as python pandas, numpy, scipy

Experience with tensorflow and scikit.