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Job Location: Gurugram, Haryana, The Great Bharat
Job Detail:
We are looking for a skilled Computer Vision Engineer with experience in deploying deep learning models in Nvidia Jetson or other embedded systems and experience in robotics. The ideal candidate will have a computer science background and a strong passion for solving complex problems in the field of computer vision.
Responsibilities:
- Develop, optimize, and deploy deep learning models on Nvidia Jetson or other embedded systems for real-time computer vision applications.
- Implement computer vision algorithms for object detection, segmentation, tracking, and recognition on robotic platforms.
- Work closely with software and hardware engineers to integrate computer vision systems into robotic platforms and test their performance.
- Develop and maintain software tools and workflows for data acquisition, pre-processing, and training of computer vision models.
- Research and stay up-to-date with the latest computer vision and robotics developments, and apply them to improve system performance.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science over any other field will be preferred.
- Strong understanding of computer vision and deep learning concepts, including neural networks, convolutional neural networks, and object detection algorithms.
- Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Caffe, and deploying models on embedded systems such as Nvidia Jetson.
- Familiarity with robotics platforms, including ROS, and experience in developing software for robotic systems.
- Proficiency in programming languages such as Python, C++, and CUDA.
- Experience with version control tools such as Git and continuous integration tools such as Jenkins.
- Excellent problem-solving and analytical skills, with strong attention to detail.
- Strong written and verbal communication skills, with the ability to communicate technical information to both technical and non-technical stakeholders.
If you have a passion for computer vision, and robotics and want to work on cutting-edge technology, we encourage you to apply for this exciting opportunity.
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