Research, design, and implement cutting-edge computer vision algorithms and machine learning models for real-time image and video analysis.
Develop and optimize deep learning models for deployment on edge devices, ensuring low latency and high performance.
Collaborate with cross-functional teams to understand project requirements and design effective solutions.
Explore and experiment with various deep learning architectures and techniques to improve model accuracy and efficiency.
Collect, preprocess, and analyze image and video data to extract meaningful features for model development.
Deploy and integrate developed models into production settings, particularly on edge devices.
Optimize model inference performance on edge devices using libraries such as TensorRT and other optimization techniques.
Stay up-to-date with the latest advancements in computer vision, machine learning, and edge computing technologies.
📌 Computer Vision And Machine Learning Engineer Hyderabad (India)
🏢 XMachines
📍 India
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