Senior Real-Time Vision Architect

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

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.