Pipeline integrity modeling meets machine learning in this remote Risk Model Engineer role serving United States or Canada. Build defensible analytical results.
At Irth Solutions, you will own transmission risk models for a new AI-driven threat and risk management platform. The work combines probabilistic modeling, machine learning, and engineering judgment. You will support models that help operators explain risk assessments and reliability calculations under regulatory scrutiny.
Key Responsibilities:
- Migrate probabilistic model code to Irth’s current platform
- Validate results against current production implementations
- Extend coverage across transmission pipeline threats
- Build time-series, anomaly detection, and geospatial models
- Present sensitivity analyses and validation evidence
Requirements:
- North American oil and gas transmission experience
- Pipeline integrity management and threat identification experience
- Probabilistic risk or reliability modeling experience
- Machine learning experience with physical asset data
- Python, testing, reproducibility, and code review practices
Apply pipeline integrity, probabilistic risk, machine learning, and Python expertise to defensible transmission infrastructure models.