Apply📍 United States
🧭 Full-Time
🔍 Computer Vision
🏢 Company: Unreal Gigs
- Strong knowledge of computer vision techniques, including object detection, image segmentation, optical flow, 3D reconstruction, and facial recognition.
- Experience with deep learning models like CNNs, ResNet, YOLO, and EfficientNet.
- Proficiency in Python and experience with computer vision libraries like OpenCV, TensorFlow, and PyTorch.
- Expertise in processing large datasets and image preprocessing techniques.
- Experience deploying models using cloud platforms like AWS or Azure, familiarity with Docker and Kubernetes is a plus.
- Interest in applying new research and improving existing models.
- Bachelor's or Master's degree in a relevant field or equivalent experience.
- 3+ years of experience in computer vision engineering with a track record of deploying models.
- Hands-on experience with large-scale image and video datasets.
- Develop and optimize computer vision algorithms using state-of-the-art techniques such as CNNs, image segmentation, object detection, and facial recognition.
- Preprocess and analyze image and video data to accurately detect and classify objects, track motion, and recognize patterns.
- Train deep learning models for tasks like object detection and image classification, optimizing hyperparameters for real-world deployment.
- Deploy computer vision models into production, ensuring they are scalable and integrated with real-time systems.
- Evaluate model performance using metrics like accuracy and precision, and monitor models in production to maintain high performance.
- Collaborate with cross-functional teams to develop solutions that align with product goals and deliver real-world value.
- Stay updated on the latest research in computer vision and deep learning, experimenting with new techniques as applicable.
AWSPythonGCPKerasMachine LearningOpenCVPyTorchAlgorithmsAzureData scienceTensorflow
Posted 2024-10-20
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