Senior Computer Vision Engineer

About Gazer Monitoring

Gazer Monitoring is a Canadian company providing remote video monitoring and virtual gate services for trucking yards, construction sites, and commercial and industrial properties. We combine video analytics with trained monitoring operators to verify activity, respond to security events and support day-to-day site operations.

We are developing our own edge analytics and monitoring software to improve how these services are delivered. Our engineering work involves live camera streams, physical devices and real operating conditions—from detecting a distant person at night to keeping analytics running reliably across multiple cameras.

Joining Gazer means working closely with the people who use the technology, seeing how it performs in the field and taking ownership of improvements that reach customer sites.

Gazer Monitoring is hiring an experienced Computer Vision / Edge AI Engineer to develop and optimize GazerEdge, our edge device for video analytics and remote monitoring.

You will take ownership of computer vision development—from evaluating and training models to deploying reliable software on hardware at customer sites.

Previous experience building and deploying computer vision systems in production is required.

The role includes:

• Developing person and vehicle detection, object tracking and event analytics.
• Improving detection of small and distant objects under challenging lighting, nighttime and weather conditions.
• Reducing false alarms while maintaining detection accuracy and recall.
• Evaluating models based on accuracy, inference speed, resource usage and hardware suitability.
• Building reliable pipelines for processing multiple live IP camera streams.
• Optimizing video decoding, inference, CPU/GPU usage, memory consumption and latency.
• Preparing datasets, training and fine-tuning models, and investigating failure cases using real-world footage.
• Developing additional capabilities, including OCR and visual recognition.
• Integrating analytics events with Gazer’s monitoring platform.
• Improving device stability, health reporting and recovery from camera or network interruptions.

You should bring:

• Proven experience deploying and maintaining computer vision applications on edge hardware.
• Strong Python programming skills; C++ experience would be an advantage.
• Practical experience with OpenCV and a deep learning framework such as PyTorch.
• Experience with object detection, tracking, dataset preparation and model evaluation.
• Hands-on experience with model export, inference optimization and hardware acceleration.
• Experience with Linux, RTSP streams and video processing tools such as FFmpeg or GStreamer.
• The ability to independently develop, test, troubleshoot and support production systems.

Experience in the following would be an advantage:

• Dedicated AI accelerators such as Hailo, Axelera or similar platforms, including model conversion, quantization, compilation and performance benchmarking.
• ONNX, OpenVINO, TensorRT or comparable deployment tools.
• Ultralytics/YOLO and other computer vision models or frameworks.
• Multi-camera analytics, video surveillance or industrial edge deployments.
• OCR and identifier recognition using camera images or video.

To apply: Submit your résumé and details of two relevant projects. Explain your contribution, the models and hardware used, camera count, measured accuracy and performance, and a deployment challenge you solved. Include a portfolio or GitHub profile where available.

Applicants must be able to discuss their own development and deployment work in technical detail.