Architect, Design, Build and deploy solutions using Computer Vision and Image Processing techniques for various applications like quality inspection in process industries, Surveillance automation and law enforcement.
Take ownership of end-to-end development of computer vision projects from concept stage to deployment stage and constant improvement of algorithm performance.
Conduct feasibility study of various requirements from customers from various industries.
Translate the business requirement to a computer vision problem statement, develop a data collection strategy to provide required insights and to meet target metrics.
Benchmark and Tune the Computer Vision Algorithms according to the Hardware Accelerators for performance benchmarking.
Optimize the Vision Algorithms to efficiently run on resource constrained hardware on the edge.
Collaborate with Customers for Requirements Capturing and Architecture definition.
Collaborate closely with software, hardware and business teams to deploy the solution with respect to various constraints and customer requirements.
Required Skills:
BS or MS degree or equivalent experience in Computer Science, Computer Engineering or Electrical Engineering.
3-5 years of industry work experience or research experience on Image Processing and Computer Vision Algorithms used for Object Detection, Tracking, Segmentation and Classification.
Should have experience in pytorch, GPU parallelization, deep learning and neural network pruning techniques.
Experience in developing end-to-end applications from conceptualization to deployment and troubleshooting.
Deep understanding of principles of Camera Sensors.
Solid understanding of computer architecture, operating system fundamentals.
Strong Data structures and Algorithms know-how with Excellent Python and C/C++ programming skills.
Excellent analytical, communication and interpersonal skills.