We are seeking a highly experienced Computer Vision / Machine Learning Engineer to develop a human intrusion detection system from scratch as part of a governmental project.

This is a structured, security-focused engagement. The selected engineer will be responsible for designing and implementing a proprietary intrusion detection module that will serve as the foundation for a larger AI video analytics platform.

Successful delivery of this IDS module will lead to expanded development of additional models, long-term collaboration, increased financial scope, and potential relocation opportunities depending on performance and project progression.

Project Context

This engagement is related to a governmental request involving AI-based security analytics.

The initial objective is to develop a high-performance Intrusion Detection System (IDS) capable of real-time human detection within defined zones and virtual perimeters.

If Phase 1 (Intrusion Detection) is delivered successfully and validated, the roadmap includes development of additional models and modules within the same system architecture.

Core Requirements

The engineer must:

• Design and implement the intrusion detection architecture from scratch
• Structure the full training pipeline
• Implement polygon-based restricted zone logic
• Implement virtual line-crossing logic
• Support optional direction-based rules
• Handle partial body visibility cases
• Exclude animals and environmental motion
• Generate structured JSON event outputs
• Ensure real-time or near real-time inference

This is not a plug-and-play integration project. We expect clean architectural thinking and custom logic development.