Computer Vision Engineer

Responsibilities

● 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

● Do unit-test code for robustness, including edge cases, usability, and general reliability

Requirements

● Thorough understanding of state-of-the-art DL concepts (Sequence modeling, Attention, Convolution, Diffusion Model, Gans etc.) along with knack to imagine new schemas that work for the given data.

● Hands-on experience in Pytorch and model building from scratch.

● In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers

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

● 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 open CV library

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

● Experience in writing production level codes using Python

● Basic understanding of C++/ C#

Desired Skills

Algorithms, Python, C++/Java(basics), debugging, performance optimization on low-end processors, data structures