Senior Applied Scientist, ML Predictive Maintenance – Asset Intelligence

MaintainX

. Design, develop and optimize machine learning models for fault detection and classification end-to-end .

Posted 9/15/2026full-timeMontreal • CanadaSenior💰 CA$123,000 - CA$180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and optimizing machine learning models for fault detection and classification, with a strong foundation in time-series modeling and signal processing techniques. Proficient in delivering production-grade code and collaborating with cross-functional teams to validate findings and influence architectural decisions.

Highest-signal resume keywords

Machine Learning Model DevelopmentTime-Series Modeling TechniquesPython ProgrammingSignal Processing TechniquesData Science and Statistics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData ScienceStatisticsTime-Series ModelingFeature EngineeringProduction-Grade Code DevelopmentVibration AnalysisFault DetectionCondition MonitoringAlgorithm Evaluation

Soft Skills

CollaborationCommunicationProblem-SolvingInfluencing Architecture Decisions

Tools & Technologies

PythonPyTorchTensorFlowFourier TransformsWavelet Analysis

Certifications & Qualifications

Master’s or Ph.D. in Computer ScienceMaster’s or Ph.D. in Data ScienceMaster’s or Ph.D. in Mechanical EngineeringMaster’s or Ph.D. in Electrical Engineering

Industry Keywords

Condition MonitoringFault DetectionAnomaly DetectionOperational Technology (OT)Vibration Data

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Design, develop and optimize machine learning models for fault detection and classification end-to-end
Perform EDA on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies
Conduct experiments and evaluate algorithms for time-series modeling, signal processing, and statistical methods
Partner with PMs in product feature discovery and roadmap prioritization by validating product hypotheses, designing success metrics and quantifying end user impact
Collaborate with domain experts to validate findings and ensure alignment with real-world applications
Engage with peers to challenge the status quo, improve shared ways of working, and influence architecture decisions
Perform on-call duties

Requirements

What you’ll need

Master’s or Ph.D. in Computer Science, Data Science, Mechanical Engineering, Electrical Engineering, or a related field with a focus on condition monitoring or machine learning applications
5+ years of proven programming skills using standard ML tools such as Python, PyTorch, Tensorflow etc.
Strong foundational knowledge in machine learning, data science, and statistics
Familiarity with time-series modeling techniques and feature engineering
Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation
Expert level of English, both spoken and written, is required
Hands-on experience developing models for OT and vibration analysis, condition monitoring, and fault detection or classification
Familiarity with signal processing techniques (e.g., Fourier transforms, wavelet analysis) and their application to OT and vibration data

Benefits

Comp & perks

Equity
Annual bonus
Health coverage, retirement and leave plans (benefits differ by country)