Senior Predictive Maintenance Engineer - AI Reliability

Novelis; Pachuca; Híbrido; MXN 1.771.000 - 2.362.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Pension scheme

Sabbatical program

Hybrid work environment

Corporate Benefits membership

Gym subsidies

Training programs

Descripción de la vacante

Novelis seeks a Senior Predictive Maintenance Engineer (m/f/d) to design, develop and deploy AI-driven predictive maintenance and asset-reliability solutions across its manufacturing operations.

The role focuses on sensor data preparation, model development, deployment support and monitoring workflows, with emphasis on time-series data and OT/IoT integration. Master’s in AI/ML or related field required, 5+ years of experience.

Formación

• Master’s degree in AI/ML or related field.
• 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.

Responsabilidades

• Develop predictive maintenance components, including sensor data preparation, feature engineering, model development, deployment support, and monitoring workflows.
• Build and improve production-grade failure prediction models, equipment health scoring, remaining-useful-life estimators, and anomaly detection capabilities.

Conocimientos

AI/ML engineering

Time-series data

Sensor data analysis

Analytical thinking

Problem-solving

Educación

Master’s degree in AI/ML or related field

Herramientas

Python

TensorFlow/PyTorch

OT/IIoT data

Descripción del empleo

Novelis seeks a Senior Predictive Maintenance Engineer (m/f/d) to design, develop and deploy AI-driven predictive maintenance and asset-reliability solutions across its manufacturing operations.

The role focuses on sensor data preparation, model development, deployment support and monitoring workflows, with emphasis on time-series data and OT/IoT integration. Master’s in AI/ML or related field required, 5+ years of experience.