Sr Predictive Maintenance Engineer

Novelis Corporate HQ • Atlanta, GA

3d • Hybrid

About The Position

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.
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)

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.
• 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.

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!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior