Senior Computer Vision Engineer

Aimlroles; Riyadh; On-site; SAR 150,000 - 210,000; Full time

Job summary

Rime, a pioneering Saudi tech company, seeks a Senior Computer Vision Engineer to lead real-time CV model development and deployment across retail and F&B environments.

You will drive detection of queue lengths, customer behavior analysis, and ensure uniform and hygiene compliance, delivering actionable insights from video streams with PyTorch and OpenCV.

Qualifications

• 2 to 4 years of hands-on experience in Computer Vision, Deep Learning, and building AI solutions.
• Proficiency in PyTorch (or TensorFlow) and OpenCV.
• Practical experience or familiarity with optimizing CV models for real-time inference (TensorRT or ONNX).
• Solid coding skills in Python and working knowledge of C++.
• Knowledge of modern CV architectures (e.g., YOLO variants) and multi-object tracking.
• Experience in processing video/image datasets, data augmentation, and labeling pipelines.
• Bachelor’s degree in Computer Science, Artificial Intelligence, or related field; Master’s a plus.

Responsibilities

• Lead the design, development, and deployment of real-time computer vision models.
• Detect queue lengths, analyze customer behavior, and verify uniform compliance and hygiene standards.
• Implement and optimize pipelines to convert video streams into actionable insights for retail and F&B clients.
• Collaborate with platform and data teams to integrate CV models with CCTV feeds and sensor data.
• Advance model latency optimization and scalability for production environments.

Skills

Python

C++

Computer Vision

Deep Learning

Queue length detection

Multi-object tracking

Data labeling pipelines

Education

Bachelor's degree in CS/AI

Master's degree, a plus

Tools

PyTorch

OpenCV

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-arts 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).