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 recent 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 new platformValidate results against current production implementationsExtend coverage across transmission pipeline threatsBuild time-series, anomaly detection, and geospatial modelsPresent sensitivity analyses and validation evidenceRequirements:North American oil and gas transmission experiencePipeline integrity management and threat identification experienceProbabilistic risk or reliability modeling experienceMachine learning experience with physical asset dataPython, testing, reproducibility, and code review practicesApply pipeline integrity, probabilistic risk, machine learning, and Python expertise to defensible transmission infrastructure models.#J-18808-Ljbffr