Computer Vision & ML Engineer (Edge AI / AWS / Python & C++)

When our system fails, real operations are at risk. If that pushes you rather than deters you, this is your place.What you’ll do:Engineer and optimize CV/ML pipelines in Python and C++ for real-time inference on embedded and Linux-based edge devices.Deploy at scale on embedded hardware and in the cloud.Fuse multimodal data (thermal, RGB, signal-based) and integrate LLM-powered models for detection, scoring, and anomaly analysis.Own the lifecycle: from early-stage research to production rollout, monitoring, and post-deployment improvements.Raise the bar: conduct reviews, mentor teammates, and set technical direction across the CV/ML stack.How success is measured:Real-time performance meets or exceeds production KPIs (latency, precision, recall).Stable AWS deployments with zero-rollback production updates.Documented model improvement metrics across successive releases.Measurable decrease in alarms caused by nuisance phenomena like exhausts, chainsaws, welding, etc.Field devices operate autonomously for >30 days with zero human intervention.Your profileMust-Haves:5+ years in software or ML/CV engineering with full-lifecycle ownership—from concept to deployed system.Expert in Python and C++, with a deep understanding of performance optimization for CV workloads.Hands-on with Linux, embedded systems, and resource-co...