Senior Computer Vision Engineer
Jobs for Humanity Open · verified Oct 22, 2026 At a glance
Senior Machine Learning Engineering role at Jobs for Humanity. Riyadh · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Lead the build and rollout of computer vision models that interpret complex scenes in real time
- Develop models to measure queues, interpret customer behavior, and check uniform and hygiene standards
- Turn video feeds and sensor data into timely operational insights for clients
What you bring
- You have two to four years of practical work in computer vision, deep learning, and AI solution development
- You hold a bachelor's degree in computer science, artificial intelligence, or a related area
- You can code in Python and C++, and have strong command of PyTorch or TensorFlow plus OpenCV
- You understand modern vision designs such as YOLO and multi-object tracking, with experience or familiarity optimizing real-time inference
Who this fits
This senior role suits an engineer who wants to lead computer vision model development and deployment. The position is onsite in Riyadh.
From the employer
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).