- 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 environments, 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)
🏢 XMachines
📍 Hyderabad