Computer Vision Deep Learning Researcher
Eaigle
Apply 3D camera geometry and deep learning to image and video understanding at EAIGLE. Work across research, experimentation, and production deployment. As a Computer Vision Researcher, you will take AI solutions from research through production. You will design, train, fine-tune, and evaluate models for detection, tracking, segmentation, and OCR. Your work supports EAIGLE products serving supply chain and logistics enterprises. Key Responsibilities:
Research and deploy state-of-the-art computer vision methods Build data collection, annotation, augmentation, and preprocessing pipelines Optimize models for accuracy, latency, memory, and cost Deploy models to cloud and edge environments Define metrics and monitor deployed model performance Requirements:
Master's or PhD in a related technical field Substantial computer vision and deep learning experience Depth in 3D camera geometry and motion Strong Python, PyTorch or TensorFlow, and OpenCV skills Experience taking models from experiment to production Bring rigorous computer vision research, deep learning, and production deployment experience to EAIGLE's image understanding platform.
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Research and deploy state-of-the-art computer vision methods Build data collection, annotation, augmentation, and preprocessing pipelines Optimize models for accuracy, latency, memory, and cost Deploy models to cloud and edge environments Define metrics and monitor deployed model performance Requirements:
Master's or PhD in a related technical field Substantial computer vision and deep learning experience Depth in 3D camera geometry and motion Strong Python, PyTorch or TensorFlow, and OpenCV skills Experience taking models from experiment to production Bring rigorous computer vision research, deep learning, and production deployment experience to EAIGLE's image understanding platform.
#J-18808-Ljbffr
Reference: WJ-3875_14365259