Scientifique Appliqué Principal, Maintenance Prédictive En Apprentissage Automatique (intelligence Des Actifs)

MaintainX

Montreal, Canada
On-site
Machine learning model development
Exploratory data analysis
Time series modeling
Design, develop, and optimize machine learning models for end-to-end fault detection and classification

Job Summary

  • Design, develop, and optimize machine learning models for end-to-end fault detection and classification.
  • Conduct exploratory data analysis on vibration, OT, and time-series data to identify failure patterns.
  • Collaborate with Product Managers for feature discovery and roadmap prioritization, and with domain experts to validate results.

Matching Summary

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

Skills & Requirements

Must-have

  • Machine learning model development
  • Exploratory data analysis
  • Time series modeling
  • Signal processing
  • Production-ready code delivery

Nice-to-have

  • Domain expert collaboration
  • Internal peer community participation
  • On-call rotation participation

Key Requirements

  • Master's or PhD in a related field
  • 5+ years of programming experience with ML tools
  • Strong ML, data science, and statistics fundamentals
  • Proficiency in time series modeling and feature engineering

Work Rights

Not specified

Tailored Resume

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