Job Details
Skills And Tools:
Job Description
Senior AI Vision Engineer to lead the development and deployment of advanced computer vision solutions for safety and surveillance systems in hospitals and industrial settings. You will build and fine-tune deep learning models for real-time detection (e.g., PPE, fall, face recognition) and deploy them on edge devices and GPU servers.
You will collaborate with cross-functional teams to turn AI prototypes into scalable systems that process live camera feeds (RTSP) and generate insights for dashboards and alerts.
Job Requirements
Strong skills in Python and deep learning frameworks (PyTorch, TensorFlow).
Hands-on experience deploying AI models on:
Mini PCs (e.g., Intel NUC, NVIDIA Jetson)
Servers with GPU (e.g., RTX 30/40 series)
Familiarity with OpenCV, RTSP, ONNX, TensorRT, or DeepStream.
Experience in object tracking, zone monitoring, or fall detection use cases is a plus.
Strong problem-solving mindset with performance optimization focus.
Fluent in Linux-based development, Git, and container tools (e.g., Docker).
4–7 years of experience in AI/Computer Vision roles