Computer Vision Innovator

3 weeks ago

Toronto, Ontario, Canada Unreal Gigs Full time

Unreal Gigs is seeking a highly skilled Computer Vision Innovator to join our team. In this role, you will be responsible for designing and implementing cutting-edge computer vision systems that power transformative applications across various industries.

We estimate the salary for this position to be around $120,000 per year, based on national averages in the United States.

Key Responsibilities:
  • Develop Advanced Computer Vision Algorithms: Design and implement sophisticated algorithms for tasks such as object detection, facial recognition, image segmentation, and motion tracking using frameworks like OpenCV, TensorFlow, PyTorch, or YOLO.
  • Build and Train Deep Learning Models: Create and train deep learning models, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to solve complex computer vision problems.
  • Image and Video Processing: Develop solutions for processing and analyzing large volumes of visual data from images and videos, including building real-time video analytics systems and optimizing image processing workflows for performance and scalability.
  • Data Annotation and Preprocessing: Prepare and preprocess datasets for training and evaluation by performing data augmentation, image normalization, and labeling.
  • Deploy Computer Vision Models in Production: Collaborate with software engineers and DevOps teams to deploy computer vision models into production environments using tools like Docker and Kubernetes.

Requirements:

  • Computer Vision Expertise: Strong knowledge of computer vision techniques, including image classification, object detection, image segmentation, and feature extraction.
  • Deep Learning Proficiency: Expertise in deep learning techniques, particularly in convolutional neural networks (CNNs), RNNs, and transfer learning.
  • Programming and Software Development: Proficiency in Python, C++, or a similar programming language, with experience writing production-level code.
  • Model Deployment and Optimization: Experience deploying machine learning models into production environments using cloud platforms (AWS, GCP, Azure) and containerization tools like Docker.
  • Data Handling and Preprocessing: Hands-on experience with data annotation, augmentation, and preprocessing.

Benefits:

  • Comprehensive Health Insurance: We offer medical, dental, and vision insurance plans with low co-pays and premiums.
  • Paid Time Off: Competitive vacation, sick leave, and 20 paid holidays per year.
  • Flexible Work Schedule: Telecommuting options and flexible work schedules to promote work-life balance.
  • Professional Development Opportunities: Training, certification reimbursement, and career advancement programs.

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