Senior Computer Vision Engineer

Kanz; Riyadh; On-site; SAR 320,000 - 520,000; Full time

Job summary

Rime, a pioneering Saudi tech company, is seeking a Senior Computer Vision Engineer to lead the design, development, and deployment of state-of-the-art real-time CV models. You will build systems that analyze video streams from CCTV feeds to monitor operations and extract actionable insights.

You will optimize models for real-time inference using tools like TensorRT or ONNX, work with PyTorch, OpenCV, and YOLO architectures, and guide data labeling pipelines while collaborating with a

Qualifications

• Experience in Computer Vision, Deep Learning, and building AI solutions.
• Bachelor’s degree in CS/AI or related field; a Master’s is a plus.
• Proficiency in Python and C++, with real-time inference experience.

Responsibilities

• Lead the design, development, and deployment of real-time computer vision models.
• Analyze environments to monitor operations and detect queue lengths, behavior, and compliance aspects.
• Collaborate with teams to optimize models for real-time performance and manage labeling pipelines.

Skills

CV experience

Python

C++

PyTorch

TensorFlow

OpenCV

Multi-object Tracking

Data labeling pipelines

YOLO architectures

Education

Bachelor’s degree in Computer Science/AI or related field

Tools

TensorRT

ONNX

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.

• 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).