Senior AI-Powered Predictive Maintenance Engineer

Novelis

Küsnacht

Hybrid

CHF 120.000 - 180.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Pension scheme
Sabbatical
Hybrid work environment
Corporate Benefits
Fitness subsidies
Development programs

Zusammenfassung

Novelis, a global leader in aluminum solutions, seeks a Senior Predictive Maintenance Engineer (m/f/d) to advance AI-driven maintenance across manufacturing operations in Europe. You will design and deploy predictive maintenance, develop health scoring and RUL estimators, and optimize models from data pipelines to production.

Join a sustainability-focused team driving reliability and efficiency. Experience in AI/ML, time-series data, and Python is required; manufacturing familiarity is a plus.

Qualifikationen

  • Master's degree or advanced certification in AI, Machine Learning, or a related field.
  • At least 5 years of experience in AI/ML engineering, data science, predictive maintenance, reliability analytics, or industrial AI systems delivery.
  • Experience in manufacturing, industrial, or sustainability-focused organizations.
  • Experience developing predictive models using time-series data, sensor data, or equipment telemetry.

Aufgaben

  • Develop and deploy AI-driven predictive maintenance and asset-reliability solutions across manufacturing operations.
  • Build and improve production-grade failure prediction models, equipment health scoring systems, and RUL estimators.
  • Optimize model performance across training, inference, edge compute, and production stability.
  • Contribute to model lifecycle management with MLOps practices such as monitoring, drift detection, retraining, and documentation.

Kenntnisse

Python
ML frameworks
Time-series data
Sensor data
Analytical skills
Problem-solving
IoT data
OT data familiarity

Ausbildung

Master's degree in AI/ML or related field

Tools

Python

Jobbeschreibung

Novelis, a global leader in aluminum solutions, seeks a Senior Predictive Maintenance Engineer (m/f/d) to advance AI-driven maintenance across manufacturing operations in Europe. You will design and deploy predictive maintenance, develop health scoring and RUL estimators, and optimize models from data pipelines to production.

Join a sustainability-focused team driving reliability and efficiency. Experience in AI/ML, time-series data, and Python is required; manufacturing familiarity is a plus.

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