We are seeking a Computer Vision expert to lead our AI Camera initiatives. You will develop vision-based safety systems capable of real-time fire/smoke detection and hazardous zone monitoring (e.g., unauthorized human detection). Your work will directly contribute to the safety and security of facility management and industrial sites.
What We’re Looking For?
- Vision Model Training : Train and optimize state-of-the-art object detection models (e.g., YOLO v8/v10/v11 , Faster R-CNN) specifically for fire, smoke, and human recognition.
- Real-time Stream Processing : Handle live video feeds (RTSP/WebRTC) and ensure low-latency inference for critical safety alerts.
- Edge & Cloud Deployment : Deploy and optimize models for cloud environments or edge devices (e.g., NVIDIA Jetson), balancing performance and hardware constraints.
- Safety Logic & Alerting : Implement robust logic to filter false positives and ensure that detected hazards (fire or intrusion) trigger accurate, real-time notifications.
What We’re Looking For?
- Experience : 3+ years of professional experience in Computer Vision and Deep Learning.
- Tech Stack : Mastery of Python , OpenCV , and deep learning frameworks ( PyTorch or TensorFlow ).
- CV Expertise : Proven experience in Object Detection and Image Segmentation in real-world environments (e.g., construction sites or factories).
- Engineering Skills : Familiarity with image pre-processing, data augmentation, and handling environmental noise (lighting changes, weather, etc.).
- More experienced candidates will be considered as Senior AI Engineer.