Researcher In Artificial Intelligence Applied To Predictive Maintenance

hace 1 mes


Oviedo, Asturias, España Arcelormittal A tiempo completo

Role Overview

ArcelorMittal is the world's largest steel producer, leveraging innovative technology to create the steels of tomorrow's world. Our team of over 190,000 talented people, located in over 60 countries, pushes the boundaries of digitalization and uses advanced technology to create a world that is stronger, faster, and smarter.

We are seeking a researcher with expertise in Artificial Intelligence applied to predictive maintenance. The successful candidate will develop models for anomaly detection, time series forecasting, remaining useful life estimation, and signal processing problems. They will also support the deployment of these models in production, manage projects related to predictive maintenance, and ensure proper communication with maintenance teams.

Key Responsibilities

  • Develop models for anomaly detection, time series forecasting, remaining useful life estimation, and signal processing problems
  • Support the deployment of these models in production
  • Manage projects related to predictive maintenance
  • Ensure proper communication with maintenance teams

Requirements

  • Master's degree in a quantitative field: Mathematics, Physics, Engineering, Computer Science, Operations Research, or other related field
  • 2+ years of experience as a data scientist
  • Experience with Condition Monitoring/Predictive Maintenance projects desirable
  • Experience and solid background in applying Machine Learning/Deep Learning in anomaly detection, time series forecasting, remaining useful life, and/or signal processing problems

What We Offer

  • Integration in a highly qualified group of researchers
  • Opportunity to pursue a career in the scientific area in the R&D organization of the world's largest steel producer

At ArcelorMittal, we value

  • Health and safety
  • Respect, transparency, honesty, and empathy in relationships
  • Integrity
  • Quality and reliability
  • Diversity, varied skills, and fresh ideas
  • Learning and professional development

Join us and contribute to creating a world that is stronger, faster, and smarter.



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