Senior Computer Vision Engineer

KANZ; Saudi Arabia; On-site; SAR 150,000 - 210,000; Full time

Job summary

Rime in Saudi Arabia is seeking a Senior Computer Vision Engineer to lead design, development, and deployment of real-time CV models for retail and F&B environments.

You will optimize architectures (YOLO variants, multi-object tracking) and work with PyTorch, OpenCV, and TensorRT to deliver actionable insights from video streams.

Collaboration with data teams and deployment on edge or cloud platforms to automate operations and improve decision making.

Qualifications

• 2–4 years of hands-on experience in Computer Vision and Deep Learning.
• Proficiency in PyTorch and OpenCV.
• Experience with real-time model optimization (TensorRT/ONNX).
• BS in Computer Science / AI; MS a plus.

Responsibilities

• Lead design, development and deployment of real-time computer vision models for client environments.
• Develop algorithms to detect queue lengths, customer behavior, and compliance checks.
• Collaborate with data and deployment teams to bring models from research to production.

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-order 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.

• 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).