Senior Predictive Maintenance Engineer (m/f/d)

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.

Become part of our mission to create a sustainable world and start in one of our German locations in Göttingen, Koblenz, Nachterstedt, Ohle, Stuttgart or Voerde or in our European Headquarter in Küsnacht, Switzerland as:

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.

• 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.

• 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.

• 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.

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