Lead Engineer, Applied ML (Remote within Canada)
Core
Build AI-driven analytics for multi-sensor data (RF, infrared, visual) to create real-time decision-support systems for defense and commercial clients.
Role type
Lead Engineer, Applied ML (foundational builder)
Builds
Real-time visualization dashboards, data ingestion pipelines, and modular containerized systems for defense/security applications.
Domain
Defense, security, and commercial AI analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Full-stack engineering, applied ML (supervised/unsupervised), real-time data pipelines, cloud infrastructure (AWS), containerized deployment, system integration
Preferred skills
Signal processing, RF/sensor data, defense/regulatory environments, dual citizenship (Canada & USA)
Technologies
REST, gRPC, MQTT, AWS, GPU-accelerated dashboards
Responsibilities
Stand up ingestion connectors for multi-source sensor data, build and tune ML models for signal classification and anomaly detection, develop live GPU-accelerated dashboards, integrate systems into modular containerized architectures
Seniority
Lead, hands-on IC with autonomy
