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Computer Vision Engineer (The Visual Intelligence Architect)

Posted 2024-10-20

View full description

💎 Seniority level: Middle, 3+ years

📍 Location: United States

🔍 Industry: Computer Vision

🏢 Company: Unreal Gigs

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: AWSPythonGCPKerasMachine LearningOpenCVPyTorchAlgorithmsAzureData scienceTensorflow

Requirements:
  • 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 frameworks like OpenCV, TensorFlow, PyTorch, or Keras.
  • Expertise in processing and augmenting large datasets, understanding image preprocessing techniques.
  • Experience deploying models in production using cloud platforms (AWS, GCP, Azure) or on edge devices.
  • A Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, Data Science, or a related field.
  • 3+ years of experience in computer vision engineering, with a proven track record.
  • Hands-on experience with large-scale image and video datasets.
Responsibilities:
  • Design and implement computer vision algorithms using techniques like CNNs, image segmentation, object detection, and facial recognition.
  • Preprocess and analyze image and video data to develop models for accurately detecting and classifying objects.
  • Train deep learning models for tasks such as object detection and video analysis, optimizing hyperparameters.
  • Work with cross-functional teams to deploy models, ensuring scalability and efficiency in production environments.
  • Evaluate and monitor model performance using appropriate metrics, retraining as necessary.
  • Collaborate with various teams to align model solutions with business goals.
  • Stay updated on advancements in computer vision and deep learning.
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