Senior Computer Vision Engineer

Kanz; Riyadh; On-site; SAR 180,000 - 300,000; Full time

Job summary

Rime is recruiting a Senior Computer Vision Engineer to lead the design, development, and deployment of state-of-the-art computer vision models that analyze real-time video streams from CCTV sources in Saudi Arabia. You will transform daily operations by delivering proactive AI insights and monitoring capabilities.

Ideal candidates have 2–4 years in computer vision with PyTorch and OpenCV, experience with YOLO and real-time optimization (TensorRT/ONNX), and strong Python and C++ skills.

Qualifications

• 2–4 years of hands-on experience in computer vision, deep learning, and AI solutions.
• Proficiency with PyTorch (or TensorFlow) and OpenCV.
• Experience optimizing CV models for real-time inference (TensorRT/ONNX).
• Strong Python coding and working knowledge of C++.
• Knowledge of YOLO variants and multi-object tracking approaches.
• Experience handling video/image datasets, augmentation, and labeling pipelines.
• Bachelor’s degree in CS/AI; Master’s preferred.

Responsibilities

• Lead design, development and deployment of CV models that analyze real-time video streams.
• Collaborate with cross-functional teams to integrate AI solutions into products.
• Optimize models for speed and accuracy in production environments.

Skills

Python

C++

PyTorch

OpenCV

YOLO

Multi-object tracking

Education

Bachelor’s degree in Computer Science/AI

Master’s degree (preferred)

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).