Senior Predictive Maintenance Engineer (m/f/d)

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

Who We Are

Novelis is driven by its purpose of Shaping a Sustainable World Together. As a global leader in innovative products and services and the world's largest recycler of aluminum, we partner with customers in the automotive, beverage can, aerospace and specialties industries to deliver solutions that improve the benefits of balanced lightweight aluminum. We have a coordinated network of technically sophisticated rolling and recycling plants as well as foundries across 29 facilities in 9 countries throughout North America, South America, Europe, and Asia with 12,750 employees worldwide. The company is headquartered in Atlanta, USA. Our customers include some of the largest and best-known brands in the world, including Coca-Cola, BMW, Jaguar Land Rover, Airbus, Boeing, Nespresso, Samsung, and others. In addition, Novelis is leading the industry with its sustainability and recycling efforts.

Senior Predictive Maintenance Engineer (m/f/d)

As Senior Predictive Maintenance Engineer you support the design, development, and deployment of AI-driven predictive maintenance and asset-reliability solutions that reduce unplanned downtime and improve equipment reliability across Novelis’ manufacturing operations.

What Awaits You

Technical Development & Delivery

• Develop and deliver components of predictive maintenance and asset-reliability systems, including sensor data preparation, feature engineering, model development, deployment support, and monitoring workflows.
• Build and improve production-grade failure prediction models, equipment health scoring systems, remaining-useful-life (RUL) estimators, and anomaly detection capabilities that surface prioritized, actionable recommendations to maintenance and operations teams.
• Support the scoping, design, and implementation of industrial AI solutions by applying appropriate modeling approaches, evaluation methods, and deployment patterns under the guidance of the Sr. AI Engineer Leader of APM.
• Optimize model performance across the full stack: training efficiency, inference latency, edge compute constraints, and long-term production stability.
• Contribute to model lifecycle management through MLOps practices such as monitoring, drift detection, retraining support, documentation, and rollback procedures.

Execution Alignment & Enterprise Coordination

• Execute assigned APM work in alignment with Novelis’ enterprise strategic data outcomes, including trusted data, operational reliability, metal flow optimization, 3×30 sustainability goals, and cash focus/operational efficiency.
• Support the enterprise Data & AI Governance framework, ensuring governance is embedded into all workflows and deliverables.
• Support quarterly planning, feature scoping, sprint execution, testing, deployment, and adoption activities aligned to the APM delivery roadmap and KPI framework.

How You Convince Us

• You hold a Master’s degree or advanced certification in AI, Machine Learning, or a related field.
• You have experience in manufacturing, industrial, or sustainability-focused organizations.
• You have at least 5 years of experience in AI/ML engineering, data science, predictive maintenance, reliability analytics, or industrial AI systems delivery.
• You have experience in developing predictive models using time-series data, sensor data, or equipment telemetry.
• You are proficient in Python and ML frameworks and feel familiar with IoT and OT data.
• You have strong analytical and problem-solving skills.

What Novelis Offers You

• Your future matters to us! Enjoy a company pension scheme subsidized by Novelis, ensuring your financial security
• Ready to fulfill your dream of traveling the world or taking an extended break? We support you with our sabbatical offer!
• Balance your daily life with ease! We offer flexible working hours and the possibility of mobile working as part of our hybrid work environment
• Benefit from Novelis' membership in Corporate Benefits with great purchasing deals from well-known brands in various areas
• We care about your well-being! Novelis subsidizes fitness activities in cooperating gyms and full preventive medical check-ups. Feel free to join your company sports groups!
• Eager to enhance your knowledge and skills? Our individual training programs are designed to help you reach your full potential

Location Profile

Start in one of our German locations in Göttingen, Koblenz, Nachterstedt, Ohle, Stuttgart or Voerde or in our European Headquarter in Küsnacht, Switzerland.

We live diversity and therefore welcome all applications - regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation, and identity.

You must be authorized to work in Switzerland without employment sponsorship.