Rime
Technology
SeniorComputerVisionEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Computer Vision Engineer at Rime. Skills: Computer Vision, Deep Learning, AI solutions. Lead design of CV models. Lead development of CV models”
Industry & Context.
What They're Looking For.
Must Have
2 to 4 years experience, Proficiency in PyTorch, Proficiency in TensorFlow, Proficiency in OpenCV, Solid coding skills in Python, Good working knowledge of C++, Solid understanding of CV architectures, Experience processing video/image datasets, Experience with data augmentation, Experience managing labeling pipelines, Bachelor’s degree in Computer Science, Bachelor’s degree in Artificial Intelligence
Nice to Have
Master's degree is a plus, Practical experience optimizing CV models, Familiarity with optimizing CV models, Experience with TensorRT, Experience with ONNX, Familiarity with YOLO variants, Familiarity with multi-object tracking algorithms
What You'll Do.
Lead design of CV models
Lead development of CV models
Lead deployment of CV models
Analyze complex environments
Analyze customer behavior
Verify uniform compliance
Verify hygiene standards
Full Job Description
Rime is a pioneering Saudi tech company specializing in Artificial Intelligence and Computer Vision. We are on a mission to put an end to "operational blindness" for multi-branch businesses, particularly in the retail and F&B sectors. By seamlessly integrating with existing CCTV cameras, our intelligent platform transforms ordinary video streams into real-time, actionable insights. We replace delayed manual reporting with proactive AI agents that monitor and analyze daily operations around the clock. At Rime, we are on a massive mission to empower businesses and optimize our clients' operational processes by transforming real-time video streams and sensor data into actionable insights. As a Senior Computer Vision Engineer, you will be at the very heart of our core technology. You will lead the design, development, and deployment of state-of-the-art computer vision models that analyze complex environments in real-time. From detecting queue lengths and analyzing customer behavior to verifying uniform compliance and hygiene standards, your algorithms will serve as the "eyes" that put an end to operational blindness for our clients. ## Qualifications * Experience: 2 to 4 years of hands-on experience in Computer Vision, Deep Learning, and building AI solutions. * Frameworks & Libraries: Strong proficiency in PyTorch (or TensorFlow) and OpenCV. * Model Optimization: Practical experience or strong familiarity with optimizing CV models for real-time inference (using tools like TensorRT or ONNX). * Programming Skills: Solid coding skills in Python and a good working knowledge of C++. * Modern Architectures: Solid understanding of modern CV architectures (e.g., YOLO variants) and multi-object tracking algorithms. * Data Handling: Experience in processing video/image datasets, data augmentation, and managing labeling pipelines. * Academic Background: Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field (A Master's degree is a plus).
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