Vision Engineer 3
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The Level 3 Computer Vision Engineer can independently design, train, and deploy custom computer vision models for specific manufacturing applications. They are responsible for the entire lifecycle of a vision project, from data acquisition to integration with production line hardware and software. This role requires in-depth knowledge of deep learning architectures and the practical challenges of deploying AI in an industrial environment.
The Level 3 Computer Vision Engineer can independently design, train, and deploy custom computer vision models for specific manufacturing applications. They are responsible for the entire lifecycle of a vision project, from data acquisition to integration with production line hardware and software. This role requires in-depth knowledge of deep learning architectures and the practical challenges of deploying AI in an industrial environment.
KNOWLEDGE- \"Extensive experience in image processing techniques, object detection, and image
- Hands-on experience in deploying and optimizing vision models on NVIDIA Jetson Edge AI platforms (e.g., Jetson Orin series).\"
- \"Proficiency with the NVIDIA TAO Toolkit, leveraging its transfer learning capabilities to rapidly adapt and fine-tune high-performance models for specific factory tasks.16
- Implementation of real-time video analytics applications using the NVIDIA DeepStream SDK, which provides a framework for building efficient, high-performance vision AI pipelines.10
- Utilization of NVIDIA Omniverse to visualize factory layouts and test camera placement in a simulated 3D environment, improving vision system design prior to physical \"
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