IQ010 - Computer Vision Engineer

Role & Responsibilities: Design, refinement and implementation of computer vision algorithms including end-to-end software engineering lifecycle execution.

The engineer will be responsible for client interface, requirements analysis, literature survey and algorithms selection (in collaboration with other team members), system architecture design, implementation of algorithms to work in real time, test support, version control, and documentation.

Skills and experience
 Proven track record in computer vision
 Good programming skills, in-depth knowledge of Python, C++, OpenCV
 Possess analytical and problem-solving skills
 Be thorough with concepts of image forming, camera and lens principles, distortions
 Have good understanding of image properties in spatial and frequency domains
 Have good understanding of machine learning/ deep learning principles
 Be able to build new architectures and build efficient, deployable solutions
 Have good understanding of attention-based. models, multi-modality, data and inference fusion, CNN, RNN, GAN, LSTM etc.
 Be familiar with performance optimisation techniques
 Have good understanding of the concepts of video formats and video processing, frequency-domain techniques, image and video compression, multimedia
 Be familiar with hardware platforms such as Jetson family of devices, Qualcomm devices, Raspberry PI.

Apply Now

Inferigence Quotient LLP invites freshers/graduate/post graduate engineers with a passion for technology and thrill for cutting-edge research work. If you have that hunger to learn and contribute to the team, write to us at hidden_email

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