Computer Vision Specialist

ONE STOP COLLECTIBLE CORP
Boston, MA, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Artificial Neural Networks Computer Vision C++ (Programming Language) Computer Programming Python (Programming Language) Machine Learning Object Detection Tensorflow Video Editing Pytorch
+2 more
Deep Learning Information Technology

Job description

As a Computer Vision Specialist at Your Personal AI in the AI Research and Development department, you will play a crucial role in developing cutting-edge technologies that enhance our AI systems. Your primary responsibility will be to design and implement computer vision algorithms to analyze and interpret visual data.

  • Utilize your expertise in computer vision to develop innovative solutions for image and video processing.
  • Collaborate with cross-functional teams to integrate computer vision capabilities into our AI products.
  • Conduct research to stay up-to-date with the latest advancements in computer vision technology.
  • Optimize algorithms for performance and scalability to meet project requirements.

If you are passionate about leveraging computer vision to drive AI innovation and have a strong background in image processing and machine learning, we invite you to join our dynamic team at Your Personal AI.

Requirements

  • Proficiency in computer vision algorithms and techniques
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Strong programming skills in languages like Python, C++, or Java
  • Familiarity with image processing and computer vision libraries
  • Ability to develop and optimize computer vision models
  • Experience in object detection, recognition, and tracking
  • Knowledge of neural networks and machine learning concepts
  • Strong problem-solving and analytical skills
  • Excellent communication and teamwork abilities
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

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