Robotics Computer Vision

Testia

Bangalore, India
Computer vision algorithm development
Deep learning methodologies
Real-time cnn models
Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies

Job Summary

  • Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.
  • Create efficient and real-time convolutional neural network (CNN) models utilizing deep learning frameworks such as TensorFlow, Caffe, Pytorch for AI model development and OpenCV, eigen, LAPACK, GMTL for the image processing.
  • Lead and manage a multidisciplinary team, ensuring effective collaboration and clear communication of technical concepts to management and team members.

Matching Summary

Design and implement state-of-the-art computer vision algorithms encompassing image classification, object detection, semantic segmentation, tracking, and pose estimation using both conventional and deep learning methodologies.

Skills & Requirements

Must-have

  • Computer vision algorithm development
  • Deep learning methodologies
  • Real-time CNN models
  • TensorFlow, Caffe, Pytorch
  • OpenCV, eigen, LAPACK, GMTL
  • Python and C++ coding
  • 2D/3D sensor algorithm development

Nice-to-have

  • Model quantization, pruning, knowledge distillation
  • TensorRT, Deepstream, OpenVino, TRITON
  • Sensor interfaces and calibration
  • Kalman filters, particle filters, clustering

Key Requirements

  • Minimum 4 years of experience
  • Solid foundation in image processing, neural networks, CNNs, vision transformer architectures
  • Expertise in entire deep learning lifecycle
  • Experience with AWS services
  • Experience with CI/CD, Docker, Kubernetes

Work Rights

Not specified

Tailored Resume

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