Senior Machine Learning Engineer (Computer Vision)
职位介绍
Design, implement, and deploy production-grade computer vision models across image classification, object detection, segmentation, and generative tasks.
Own end-to-end ML pipelines and architectures, from data preprocessing and model training to deployment, monitoring, and maintenance.
Optimize for speed, accuracy, and reliability using data augmentation, preprocessing techniques, quantization, pruning, and hardware acceleration.
Deploy on cloud platforms (AWS, GCP, Azure), edge devices, and accelerators (GPUs/TPUs) with CI/CD and robust monitoring.
Turn ambiguous visual problems into scalable, enterprise-ready solutions through collaboration across cross-functional teams.
Requirements: 5+ years of production ML experience, strong Python and deep learning framework skills (TensorFlow, PyTorch, Keras), with hands-on CV expertise (OpenCV/torchvision) and ML ops experience.
Own end-to-end ML pipelines and architectures, from data preprocessing and model training to deployment, monitoring, and maintenance.
Optimize for speed, accuracy, and reliability using data augmentation, preprocessing techniques, quantization, pruning, and hardware acceleration.
Deploy on cloud platforms (AWS, GCP, Azure), edge devices, and accelerators (GPUs/TPUs) with CI/CD and robust monitoring.
Turn ambiguous visual problems into scalable, enterprise-ready solutions through collaboration across cross-functional teams.
Requirements: 5+ years of production ML experience, strong Python and deep learning framework skills (TensorFlow, PyTorch, Keras), with hands-on CV expertise (OpenCV/torchvision) and ML ops experience.
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