Senior Applied Scientist, Ml Predictive Maintenance (asset Intelligence)

MaintainX

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

Job Summary

  • 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.
  • Partner with PMs in product feature discovery and roadmap prioritization through validating product hypotheses, designing success metrics and quantifying end user impact.

Matching Summary

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

Skills & Requirements

Must-have

  • Machine learning model design and optimization
  • Time-series data analysis
  • Fault detection and classification
  • Production-grade code development
  • Python, PyTorch, Tensorflow
  • Signal processing techniques

Nice-to-have

  • Condition monitoring experience
  • Industrial IoT expertise
  • Collaboration with domain experts
  • Community engagement and architecture influence

Key Requirements

  • Master's or Ph.D. in relevant field
  • 5+ years of programming skills
  • Strong ML, data science, and statistics knowledge
  • Familiarity with time-series modeling
  • Ability to deliver production-grade code

Work Rights

Not specified

Tailored Resume

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