Video AI Developer

Descripción de la vacante

Video AI & Computer Vision Engineer.

We are looking for an experienced Video AI & Computer Vision Engineer to design, develop, and scale advanced real-time video analytics systems.

The ideal candidate has hands-on experience in computer vision, artificial intelligence, and real-time video processing, with the ability to develop and deploy reliable AI solutions.

Key Responsibilities

Requirements

Preferred Qualifications

• Develop and maintain AI-powered video analytics applications.
• Build and optimize real-time video processing pipelines using RTSP and GStreamer.
• Develop, train, and deploy computer vision models for object detection, tracking, and behavior analysis.
• Work with multiple IP camera streams and video processing systems.
• Optimize AI model performance using NVIDIA GPUs and related technologies.
• Troubleshoot and improve existing AI models and video processing applications.
• Support AI deployment across GPU servers and edge devices.
• Integrate AI applications with APIs, webhooks, and other systems.
• Monitor and improve system performance, accuracy, and reliability.
• Experience in AI development, computer vision, or machine learning.
• Strong programming skills in Python and Open CV .
• Experience with real-time video processing, RTSP, or GStreamer.
• Knowledge of object detection, tracking, and video analytics.
• Familiarity with NVIDIA GPUs, CUDA, Tensor RT, or ONNX.
• Experience with Linux and Docker.
• Experience deploying AI or machine learning models into production environments.
• Strong troubleshooting, analytical, and problem-solving skills.
• Ability to work independently and collaborate with a technical team.
• Experience with NVIDIA Deep Stream and C++.
• Experience with multi-camera video analytics systems.
• Knowledge of distributed AI inference and GPU optimization.
• Experience with NVIDIA Jetson or other edge AI devices.
• Familiarity with MLOps, model retraining, and continuous improvement.
• Experience with Vision-Language Models or multimodal AI.
• Background in IP camera systems, surveillance technology, or video management platforms.