Video AI Developer
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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
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
- 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.
Requirements
- Experience in AI development, computer vision, or machine learning.
- Strong programming skills in Python and OpenCV.
- Experience with real-time video processing, RTSP, or GStreamer.
- Knowledge of object detection, tracking, and video analytics.
- Familiarity with NVIDIA GPUs, CUDA, TensorRT, 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.
Preferred Qualifications
- Experience with NVIDIA DeepStream 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.
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