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    Sr. Computer Vision Engineer - Tamarac, United States - Engage Partners, Inc.

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    Technology / Internet
    Description
    Job Title: Sr
    Computer Vision Engineer
    Location: US-Remote

    Overview:
    The Computer Vision Engineer will play a crucial role in developing and implementing state-of-the-art computer vision algorithms and systems
    You will work closely with a multidisciplinary team of software engineers and researchers to create groundbreaking solutions that leverage computer vision technologies
    From designing robust algorithms to optimizing performance for real-time applications, you will have the opportunity to tackle challenging problems and make a significant impact in the field of computer vision.

    Responsibilities:
    • Design, develop, and implement computer vision algorithms and systems for various applications such as object detection, recognition, tracking, and image segmentation.
    • Conduct research to stay abreast of the latest advancements in computer vision and machine learning, and apply findings to enhance existing systems.
    • Collaborate with software engineers to integrate computer vision algorithms into production-level software applications.
    • Optimize algorithms for performance and scalability, ensuring efficient execution on various hardware platforms.
    • Evaluate and test the performance of computer vision systems using real-world data and metrics.
    • Work closely with cross-functional teams to understand requirements, prioritize tasks, and deliver solutions that meet project objectives.
    • Contribute to the development of technical documentation, including algorithm designs, specifications, and user manuals.
    • Stay informed about industry trends, emerging technologies, and best practices in computer vision and artificial intelligence.
    • Other duties as assigned.
    Qualifications:
    • Bachelor's, Master's, or Ph.D
      degree in Computer Science, Electrical Engineering, or related field.
    • 7-10 years experience in related field.
    • Solid understanding of computer vision fundamentals, including image processing, feature extraction, and machine learning techniques.
    • Proficiency in programming languages commonly used in computer vision development, such as Python, C/C++, and MATLAB.
    • Experience with popular computer vision libraries and frameworks, such as OpenCV, TensorFlow, and PyTorch.
    • Strong mathematical background, with knowledge of linear algebra, calculus, and probability theory.
    • Experience with deep learning techniques for computer vision tasks, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
    • Familiarity with GPU programming and parallel computing for acceleration of computer vision algorithms.
    • Excellent problem-solving skills and the ability to work independently as well as part of a team.
    • Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
    Please send resumes to


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