Senior Computer Vision Engineer

We are building a real-time computer vision platform that detects safety violations across multiple CCTV streams on live-fire training ranges in day, night-IR, and thermal conditions. The system has to work. Failures have real-world consequences, not just bad metrics.

• Live multi-CCTV detection across day, night-IR, and thermal conditions.
• Complex and dynamic CV solutions: weapon / object orientation under occlusion, action sequence recognition for clearing drills or SOP, multi-camera Re-ID across identical uniforms, and smoking detection.
• Designing algorithms and policies that combine multiple detection frameworks to drive false positives down without losing recall on critical events.
• Continuously analysing where the system is uncertain and lifting confidence calibration and recall rates for P0 use cases.
• Scalable architecture ...