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Machine Learning Engineer, Predictive Maintenance

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MaintainX

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Location:
Canada , Montreal

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

MaintainX is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We’re a modern, IoT-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities. As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.

Job Responsibility:

  • Develop and train machine learning models for fault detection and classification based on time-series sensor data
  • including vibration, temperature, pressure, flow etc.
  • Perform exploratory data analysis (EDA) on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies
  • Experiment with and evaluate various algorithms, including time-series modeling, signal processing, and statistical methods, to optimize model performance
  • Collaborate with domain experts to validate findings and ensure alignment with real-world applications
  • Document workflows, experiments, and methodologies to ensure reproducibility and knowledge sharing across the team
  • On-call duties

Requirements:

  • Strong foundational knowledge in machine learning, data science, and statistical modeling
  • Familiarity with time-series modeling techniques and feature engineering
  • Experience in deploying machine learning models on real-world use cases and continuously improving the model performance with feedback
  • 3+ years of proven programming skills using standard ML tools such as Python, PyTorch, Tensorflow etc.
  • 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

Nice to have:

  • 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
What we offer:
  • Competitive salary and meaningful equity opportunities
  • Healthcare, dental, and vision coverage
  • 401(k) / RRSP enrollment program
  • Take what you need PTO

Additional Information:

Job Posted:
February 18, 2026

Work Type:
Hybrid work
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