وظيفة مهندس ذكاء اصطناعي لدى شركة آفكو للأغذية المحدودة في الدمام

Senior AI & Computer Vision Engineer - CCTV Analytics

📍 Location: Saudi Arabia

💼 Employment Type: Full-Time

🏢 Department: Technology / AI

About the Role

We are looking for an experienced Senior AI & Computer Vision Engineer to join our technology team and lead the development of AI-powered CCTV and video analytics solutions.

The successful candidate will be responsible for developing, optimizing, and deploying real-time computer vision systems that analyze CCTV footage and generate actionable insights for business and operational use cases.

Key Responsibilities

• Develop and deploy AI-powered CCTV and video analytics solutions.
• Build computer vision models for object detection, tracking, classification, segmentation, and event/behavior detection.
• Develop real-time video analytics using Python, OpenCV, PyTorch/TensorFlow, YOLO, and related technologies.
• Process and analyze multiple live CCTV streams using RTSP and other video streaming protocols.
• Integrate AI solutions with CCTV cameras, NVR/DVR systems, VMS platforms, and APIs.
• Optimize AI models for real-time inference, GPU/CPU performance, and edge deployment.
• Work with technologies such as NVIDIA CUDA, TensorRT, and DeepStream where applicable.
• Develop and deploy solutions for use cases such as people counting, vehicle detection, occupancy monitoring, queue analytics, intrusion detection, safety compliance, and abnormal activity detection.
• Continuously monitor, evaluate, and improve model accuracy and system performance.
• Collaborate with software engineers, DevOps, data teams, and business stakeholders to take AI solutions from development to production.
• Stay updated with emerging technologies in Computer Vision, Video AI, Generative AI, and multimodal AI.

Required Skills & Experience

• 5+ years of relevant experience in AI, Computer Vision, Machine Learning, or Video Analytics.
• Bachelor's or master's degree in computer science, AI, Machine Learning, Computer Engineering, or a related field.
• Strong programming skills in Python.
• Strong hands-on experience with Computer Vision and Deep Learning.
• Experience with OpenCV, YOLO, PyTorch and/or TensorFlow.
• Strong understanding of object detection, tracking, segmentation, classification, and real-time video processing.
• Practical experience working with CCTV/video streams.
• Knowledge of RTSP, ONVIF, NVR/DVR, and VMS integration is highly desirable.
• Experience with GPU-based AI inference, CUDA, TensorRT, or NVIDIA DeepStream is an advantage.
• Experience with Linux, Docker, Git, REST APIs, and production AI deployment.
• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Experience

Candidates with experience in CCTV analytics, video surveillance, retail, QSR/F&B, smart buildings, logistics, IoT, security systems, or other real-time video intelligence applications will be highly preferred.

Experience with ANPR/ALPR, facial recognition, behavioral analytics, Vision-Language Models (VLMs), or multimodal AI will be an added advantage.