Développeur(se) Senior En Apprentissage Automatique, Intelligence Des Actifs

MaintainX

Montreal, Canada
Base: competitive; bonus/equity: significant equit...
On-site
Machine learning production systems
Python with pytorch and tensorflow
Llm frameworks langchain and hugging face
MaintainX is the world’s leading mobile platform dedicated to asset and task management in industrial frontline environments, serving over 12,000 organizations including major brands like Duracell and Shell

Job Summary

  • MaintainX is the world’s leading mobile platform dedicated to asset and task management in industrial frontline environments, serving over 12,000 organizations including major brands like Duracell and Shell.
  • The role involves designing end-to-end ML systems, leading a growing team of ML and data engineers, and driving the AI roadmap to transform frontline operations through predictive and generative AI.
  • Benefits include competitive salary with significant equity opportunities, comprehensive health coverage, 401(k)/RRSP plans, flexible leave policies, and a meritocratic culture celebrating ideas and results.

Matching Summary

MaintainX is the world’s leading mobile platform dedicated to asset and task management in industrial frontline environments, serving over 12,000 organizations including major brands like Duracell and Shell.

Salary

Base: Competitive; Bonus/Equity: Significant equity opportunities; Benefits: Health, dental, vision coverage, 401(k)/RRSP

Skills & Requirements

Must-have

  • Machine learning production systems
  • Python with PyTorch and TensorFlow
  • LLM frameworks LangChain and Hugging Face
  • IoT data ingestion and telemetry
  • MLOps tools Docker and Kubernetes
  • Predictive maintenance and anomaly detection

Nice-to-have

  • Leadership and team mentoring skills
  • Collaboration with product and development teams
  • Experience with OCR for data extraction
  • Knowledge of industrial IoT systems
  • Reinforcement learning and agent architectures
  • Contributions to open source ML frameworks

Key Requirements

  • 7+ years in machine learning or applied AI
  • Proven large-scale ML production deployment
  • Expertise in Python and ML cloud stacks
  • Experience with LLMs and time series modeling
  • Master’s or PhD preferred in related field

Work Rights

Not specified

Tailored Resume

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