Risk Model Engineer - Pipeline Integrity (Transmission)
Location: Remote (US or Canada)
Department: Insights (AI/ML)
Reports to: Data Science Team Lead
About the Role
Irth is building a new AI-driven threat and risk management platform for pipeline asset integrity. The platform brings together three capabilities that have never previously lived in one place at Irth:
We are hiring a Risk Model Engineer to own the transmission risk models within this analytical layer.
Operators already run our probabilistic threat models in production inside the application. In this role, you will translate those models to the new platform, extend coverage across the transmission threat set, and build Irth's own model library alongside our existing model suite.
Your work will produce risk outputs that pipeline operators need to understand, defend, and stand behind with regulators. The role spans physics-based probabilistic models and machine learning, feeding reliability calculations that remain explainable and defensible.
You will own the model content: what it computes, why it computes it, and the evidence that demonstrates it is correct.
Productionization-including serving, pipelines, deployment, and monitoring infrastructure-is owned by dedicated ML Ops and data engineering teams that you will work with closely every day.
Key Responsibilities
Model Migration & Integration
Model Development
| Location | CA (Remote) |
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