Team Lead- Computer Vision

Responsibilities

Build and mentor the computer vision team at TransPacks

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

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

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

D 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 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.