Lead Engineer, Applied ML

📋 Description

• Own end-to-end AI-driven decision-support platform architecture and delivery.
• Build ingestion connectors using REST, gRPC, MQTT.
• Define unified schemas and metadata for sensors.
• Develop data-fusion pipelines with quality checks.
• Build/train ML models for classification and anomaly detection.
• Optimize inference for near real-time performance.

🎯 Requirements

• Strong full-stack engineering background across the stack.
• Applied ML experience: training, deployment in production.
• Real-time/latency-sensitive data pipelines and streaming.
• Data ingestion, transformation, schemas, metadata, quality.
• Cloud infra, AWS preferred; containerized deployments.
• Ownership mindset, independent decision making.

🎁 Benefits

• Base compensation CAD 220,000–CAD 450,000 for full-time.
• Equity options for full-time hires.
• Fully remote with flexible location.
• Hybrid collaboration options where appropriate.
• Occasional project-based travel.
• Direct collaboration with founder and autonomy.