Computer Vision (CV) Scientist

Position: CV Scientist.

Responsibilities.

Drive to productionize algorithms (industrial level) developed through hard-core research.

Own the design, development, testing, deployment, and craftsmanship of the teams 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.

Minimum Experience: 3 5 yrs..