Novelis is one of the world leaders in aluminum recycling and rolling and a leading sustainable aluminum solutions provider. Driven by our purpose of shaping a sustainable world together, we work alongside our customers to provide innovative solutions to the aerospace, automotive, beverage packaging and specialty markets. Headquartered in Atlanta, Georgia, Novelis has approximately 13,000 employees in 32 operating facilities on 4 continents.

The Sr Predictive Maintenance Engineer supports 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. Reporting to the Sr AI Engineer Leader of APM, this role delivers and performs predictive maintenance use cases in partnership with Operations, Reliability, Data Engineering, and AI Governance. The role contributes to failure-prediction models, equipment health-monitoring systems, anomaly detection, and remaining-useful-life (RUL) estimators, translating operational and maintenance data into actionable recommendations for maintenance and operations teams—decision support for human action, not autonomous control.

This role is a hands-on engineering position focused on execution, delivery, and continuous improvement of APM solutions. The Sr Predictive Maintenance Engineer works within the technical direction, roadmap, and architecture established by the Sr AI Engineer Leader of APM, helping convert prioritized use cases into reliable production solutions while maintaining engineering quality, model performance, and operational usability.

Capability Alignment

This role is aligned to the APM delivery team within the Decision Intelligence & AI Enablement pillar and contributes to the following enterprise capabilities:

• Predictive Maintenance & Asset Reliability
• Failure Prediction & Remaining Useful Life (RUL) Modeling
• Equipment Health Monitoring & Anomaly Detection
• OT/IoT Sensor Data & Edge Inference for Predictive Models
• MLOps & Model Lifecycle Management for Industrial Systems
• Responsible AI Compliance in Operational Environments (to AI Governance standards)

Responsibilities

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

• Complete 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 work.
• Support quarterly planning, feature scoping, sprint execution, testing, deployment, and adoption activities aligned to the APM delivery roadmap and critical metric framework.

Accountability Boundaries

This role delivers predictive maintenance models and related engineering components within the roadmap, technical architecture, and technology direction owned by the Sr. AI Engineer Leader of APM. It supports predictions and recommendations for maintenance and operations teams; people—Operations and Reliability—make and complete the maintenance decisions and actions. This role contributes to the APM roadmap, technology strategy, enterprise architecture, autonomous closed-loop control or machine actuation, AI safety and governance standards, core data platforms and ingestion pipelines, business target definitions, performance reporting dashboards, data governance rules, MDM policy, and data access configuration. Where a use case warrants autonomous closed-loop execution rather than human action, this role supports handoff to AI Automation for engineering and runtime ownership.

Minimum Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field.
• Minimum of 5 years of experience in AI/ML engineering, data science, predictive maintenance, reliability analytics, or industrial AI systems delivery.
• Experience developing predictive models using time-series data, sensor data, or equipment telemetry.
• Proficiency in Python and ML frameworks; familiarity with IoT and OT data.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Master’s degree or advanced certification in AI, Machine Learning, or a related field.
• Experience in manufacturing, industrial, or sustainability-focused organizations.
• Familiarity with OT/IoT data, edge computing, or industrial AI deployment environments.
• Experience with Novelis or Hindalco technologies and processes.

Please note that we are unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States without the need for current or future sponsorship

What We Offer:

Novelis' benefits say a lot about how we care for each other. Our employees and their families have many different needs. As a result, our benefits offer choices on many levels and are high in quality, driven by the marketplace, and affordable. In addition to core benefits, we provide these unique to the industry benefits:

• Family Growth Programs: Paid parental Leave, Adoption Assistance, Fertility Treatment, Childcare Discount and Nursing Mom Support
• Employee Assistance Programs: free resources available 24/7 to you and your family in the areas of mental health, family life, and career and financial guidance
• Wellness Programs: incentives for wellness activities, wellness spending account, programs for building healthy habits, virtual physical therapy for joint, back, and pelvic health, health management programs and more.
• Diabetes Management Program
• Pet insurance
• Identity Theft Protection
• PerkSpot Discount Program
• Tuition assistance and career development programs!

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Novelis’ Global Corporate and North America Headquarters is located in the Buckhead neighborhood of Atlanta GA employing around 700 people. Supporting it’s 31 operations worldwide Novelis’ corporate office is home to the executive leadership team and global functions that support the automotive beverage can and high-end specialties value streams. The City of Atlanta provides a diverse and family-friendly place to live with countless museums cultural organizations and educational institutions including the Georgia Aquarium Woodruff Arts Center CNN Center Georgia Tech and Mercedes-Benz Stadium. In the Atlanta area Novelis has strong community partnerships with Atlanta Habitat for Humanity GeorgiaFIRST and Agape Youth and Family Center in addition to many local museums and community groups.

Novelis recognizes its talented and diverse workforce as a key competitive advantage. Novelis provides equal employment opportunities to all employees and applicants.All terms and conditions of employment at Novelis including recruiting hiring placement promotion termination layoffs recalls transfers leaves of absence compensation and training are without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal provincial or local laws.

We encourage all potential candidates to follow the protocols below and to be diligent when sharing any personal information:
1. Check the job posting is live and valid via our careers page: Careers - Novelis
2. Verify any communication with us by contacting our talent team at Careers - Novelis