Senior Computer Vision Engineer

rime platform; Saudi Arabia; On-site; SAR 180,000 - 300,000; Full time

Job summary

Rime seeks a Senior Computer Vision Engineer to lead the design, development and deployment of cutting-edge CV models that analyze real-time video streams and sensor data for client insights.

You will bridge AI research and production, overseeing data pipelines, model optimization for low-latency inference, and integration into our smart vision products using Python, C++, and YOLO-based architectures.

Qualifications

• Bachelor's degree in Computer Science, AI or related field; Master’s degree a plus
• Proficiency in PyTorch or TensorFlow and OpenCV
• Experience optimizing CV models for real-time inference with TensorRT or ONNX
• Strong Python and working knowledge of C++
• Understanding of modern CV architectures including YOLO variants and multi-object tracking
• Experience with video/image datasets, data augmentation and labeling pipelines

Responsibilities

• Bridge AI research and production-grade engineering
• Lead development, training and deployment of CV models (object detection and tracking)
• Oversee data pipelines and optimize models for low-latency real-time inference using TensorRT/ONNX
• Leverage Python, C++, and modern CV architectures to scale smart vision products

Skills

PyTorch

TensorFlow

OpenCV

Python

C++

YOLO variants

Multi-object tracking

Data augmentation

Education

Bachelor's degree in Computer Science, Artificial Intelligence, or related field

Master’s degree is a plus

Tools

TensorRT

ONNX

OpenCV

Job description

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.

Requirements

• 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).

Roles And Responsibilities

As a Senior Computer Vision Engineer, your primary role is to bridge the gap between AI research and production‑grade engineering. You will lead the development, training, and deployment of state‑of‑the‑art computer vision models (such as object detection and tracking). You will be responsible for overseeing data pipelines and optimizing models using frameworks like TensorRT/ONNX to ensure low‑latency, real‑time inference. Your expertise in Python, C++, and modern CV architectures will drive the technical success and scalability of our smart vision products.