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Salary
≈ $51k – $122k per year (Estimated)
Location
Hybrid (Stuttgart, Germany)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 2, 2026. First seen by Alion on Sep 28, 2026.

Overview
Company
Impact
Profile match
Novelis is an aluminum company headquartered in Atlanta, Georgia, that produces flat-rolled aluminum products and is the world's largest recycler of aluminum, supplying the beverage can, automotive, aerospace, building and specialty markets. Created in 2005 as a spin-off from Alcan and owned since 2007 by Hindalco Industries of the Aditya Birla Group, it runs 29 rolling, recycling and casting facilities in nine countries with about 12,750 employees and serves customers such as Coca-Cola, BMW, Airbus and Boeing. It hires production operators, maintenance mechanics and electricians, automation, metallurgical and process engineers, data scientists, IT analysts and EHS staff.

Position Overview

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.

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:

Senior Predictive Maintenance Engineer (m/f/d)

Responsibilities & Qualifications

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:

#pensionscheme: Your future matters to us! Enjoy a company pension scheme subsidized by Novelis, ensuring your financial security

#timeout: Ready to fulfill your dream of traveling the world or taking an extended break? We support you with our sabbatical offer!

#worklifebalance: Balance your daily life with ease! We offer flexible working hours and the possibility of mobile working as part of our hybrid work environment

#goodies: Benefit from Novelis' membership in Corporate Benefits with great purchasing deals from well-known brands in various areas

#health: We care about your well-being! Novelis subsidizes fitness activities in cooperating gyms and full preventive medical check-ups. Feel free to join our company sports groups!

#development: Eager to enhance your knowledge and skills? Our individual training programs are designed to help you reach your full potential

Have we caught your interest?

Then become part of our team! We are looking forward to your application!

You can apply easily with your resume via our application system in less than 5 minutes.

Please note that postal applications cannot be processed and considered.

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.

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.

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