AI Engineer - Computer Vision
Core
Designing and deploying AI-powered video analytics solutions on edge devices for real-time CCTV data streaming in bandwidth- and latency-sensitive environments.
Role type
AI Engineer - Computer Vision (Edge Computing)
Builds
Scalable, intelligent real-time video processing systems on edge hardware
Domain
Edge AI, Computer Vision, Embedded Systems
Deliverable
production ML models
Required skills
C/C++/Python, edge computing platforms (NVIDIA Jetson, Raspberry Pi), video/image processing, RTSP protocols, AI/ML frameworks (TensorRT, OpenVINO, ONNX), camera integration, video codecs
Preferred skills
Containerization (Docker), microservices deployment, cloud-edge integration (MQTT), computer vision libraries (OpenCV, GStreamer, DeepStream SDK), security protocols in video surveillance
Technologies
NVIDIA Jetson, Raspberry Pi, TensorRT, OpenVINO, ONNX, RTSP, MQTT, Docker, OpenCV, GStreamer, DeepStream SDK
Responsibilities
Design and optimize AI video analytics algorithms for edge deployment; configure and manage edge computing devices; develop embedded software and firmware; implement real-time CCTV data streaming solutions; integrate video analytics pipelines with edge hardware; troubleshoot hardware/software issues in edge environments
Seniority
Mid-Senior, hands-on IC
