DIMP Model Engineer

Irth Solutions

. Own gas distribution risk models within Irth’s analytical layer .

Posted 9/15/2026full-timeRemote • CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in gas distribution integrity management, including threat identification and risk modeling, while effectively collaborating with subject-matter experts and data engineering teams to enhance model accuracy and reliability.

Highest-signal resume keywords

Gas Distribution Integrity ManagementThreat Identification Under 49 CFR Part 192, Subpart PMachine Learning Applied to Physical Asset DataLeak Survey and Methane DetectionLegacy Material Risk Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Risk ModelingData ValidationThreat Framework DesignAnomaly Detection ModelsClassification ModelsTime-Series AnalysisSurvival ModelsData IntegrationModel CalibrationThreat Coverage Extension

Soft Skills

CuriosityJudgmentCollaboration

Tools & Technologies

ML OpsData PipelinesMonitoring Infrastructure

Industry Keywords

Gas DistributionMaterial CorrosionPlastic EmbrittlementExcavation DamageCross-Bores

About the role

Key responsibilities & impact

Own gas distribution risk models within Irth’s analytical layer
Help define gas distribution threat frameworks and model sets with subject-matter experts and design-partner operators
Build risk models and take them through validation
Produce explainable, calibrated, and defensible risk rankings for utility replacement programs and regulatory proceedings
Own model content, including what the model computes, why it computes it, and the evidence supporting its validity
Translate the gas distribution threat framework into systematic threat identification methods and supporting data structures
Integrate model inputs from diverse datasets across Irth’s product offerings
Identify gaps, inconsistencies, and limitations in source data and determine how they should be reflected in model inputs and outputs
Extend threat coverage across legacy material corrosion, plastic embrittlement, excavation damage, cross-bores, and other gas distribution threats
Collaborate closely with dedicated ML Ops and data engineering roles responsible for model serving, data pipelines, deployment, and monitoring infrastructure

Requirements

What you’ll need

Relevant experience in gas distribution integrity management, including program design, threat identification under 49 CFR Part 192, Subpart P, and replacement prioritization
Experience with legacy material risk, including cast iron, bare steel, vintage plastics, and plastic embrittlement
Experience with leak survey, methane detection, and cross-bore programs
Machine learning applied to physical asset data, including time-series, survival, anomaly-detection, and classification models
Strong depth in one or more relevant capability areas
Curiosity and judgment to work across other capability areas
Ability to collaborate with subject-matter experts, ML Ops, and data engineering roles

Benefits

Comp & perks

Competitive compensation package based on experience and qualifications
Medical, Dental, and Vision Insurance
401(k) Plan with Company Match
Generous Paid Time Off (PTO)
Company-Paid Holidays
Flexible Work Options / work-from-home opportunities, depending on role and business needs
On-Call Compensation for eligible on-call shifts