AI Engineer (Deep Learning/Python, PyTorch, TensorFlow)

We are looking for a highly skilled Deep Learning Engineer to join our team and contribute to the development of our AI system. As a Deep Learning Engineer, you will be responsible for developing, implementing, and optimizing deep learning models and algorithms for object detection, tracking, and face recognition.

Responsibilities:

• Develop, train, and optimize deep learning models and algorithms for object detection, tracking, and face recognition using state-of-the-art techniques and frameworks (e.g., TensorFlow, PyTorch).
• Design and implement data preprocessing, augmentation, and validation pipelines to ensure the quality and reliability of the training data.
• Collaborate with other engineers and data scientists to develop and integrate deep learning models and algorithms into the AI camera system.
• Optimize the performance and efficiency of the deep learning models and algorithms through techniques such as pruning, quantization, and compression.
• Evaluate and benchmark the performance of the deep learning models and algorithms using appropriate metrics and datasets.
• Keep up-to-date with the latest research and advancements in deep learning and computer vision.