Advanced Computer Vision Professional

5 days ago

Erode, Tamil Nadu, India beBeeVision Full time ₹ 32,44,000 - ₹ 48,66,000
Computer Vision Engineer Job Summary">

We are seeking an experienced Computer Vision Engineer to develop and implement advanced computer vision algorithms, localization and SLAM techniques for our innovative warehouse inventory management solutions.

This role involves working on the development and implementation of Python-based modules and pipelines to be deployed on both server and edge-based platforms and requires thinking outside-the-box to build efficient modules.

  • Design, develop and implement on-board computer vision algorithms, using classical and modern methods, meant for real-time robot localization in an indoor warehouse setting.
  • Contribute to geometric vision algorithms involving 3D computer vision tasks such as dense/sparse 3D reconstruction, multiview pose estimation, RGBD fusion, 3D object detection and 3D dimensioning.
  • Implement sensor fusion techniques to integrate data from multiple sensors such as LIDAR, cameras, IMU and ToF to enhance the accuracy and robustness of vehicle navigation.

Required Skills and Qualifications:

  • Strong Python programming skills with an understanding of deep learning frameworks and workflow. Responsible for conducting thorough testing and debugging of Python code, ensuring the reliability and robustness of pipeline implementations.
  • Contribute to product architecture, make decisions on sensor selections, and deploy solutions in various customer sites and gauge system efficiency on a day-to-day basis.
  • Ownership of the development and implementation of pipelines for computer vision and machine learning algorithms and packaging software for efficiency.

Key Requirements:

  • Strong foundation in physics and robotics systems – including ROS, 3D simulations and sensor fusion based navigation algorithms.
  • Proven experience in developing Navigation and Localization algorithms for autonomous vehicles, robotics, drones, maritime vehicles or similar applications.
  • Hands-on experience in computer vision (classical and modern), visual odometry and SLAM projects, solving real-world problems involving vision, navigation and localization tasks.

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