
AI Engineer in Video Analytics
1 week ago
This is an exciting opportunity to join a leading AI company as a Video Analytics Software Development Position. As a key member of our team, you will be responsible for designing and developing innovative video analytics solutions.
- Design and implement video analytics systems using computer vision and machine learning algorithms.
- Develop and fine-tune AI models for object detection, tracking, anomaly detection, and behavioral analysis in CCTV feeds.
- Deploy computer vision systems on CPU and GPU servers, optimizing for performance, scalability, and resource efficiency in production environments.
- Collaborate with cross-functional teams to build scalable, efficient solutions that process video feeds, perform real-time analytics, and ensure seamless integration with client-server architectures and network infrastructures.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on Computer Vision (CV).
- 3+ years of professional experience in AI engineering, specifically in CV and AI model fine-tuning (e.g., using frameworks like TensorFlow, PyTorch, or OpenCV).
- Proficiency in programming languages such as Python or C/C++, with hands-on experience in developing and optimizing CV algorithms.
- Proven track record in deploying CV systems on CPU and GPU servers (e.g., using CUDA, TensorRT, or ONNX for acceleration).
- Experience with CCTV video analytics (VA) applications, including processing real-time video streams for security and surveillance.
- Solid understanding of client-server architectures, CCTV camera systems, internet networks, and protocols (e.g., TCP/IP, ONVIF).
Benefits:
- We offer flexible working hours, protection under an insurance scheme, opportunities to gain hands-on experience in a leading AI company, potential for performance-based incentives and company shares.
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