Computer Vision

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 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.
• Hands on experience on GPU System
• 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

Minimum Experience: 3 - 5 yrs.