AI-Driven Manufacturing Engineer for Smart Factory (Hybrid)

Itron, Inc.; South Carolina; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

hybrid work schedule

401k matching

employee stock purchase program

paid vacation

health and wellbeing programs

Job summary

Itron, Inc. is seeking an AI Manufacturing Engineer to design, deploy, and support AI-enabled solutions for manufacturing efficiency and product quality. You will translate business needs into scalable AI applications and collaborate across Manufacturing, Quality, Operations, and Test Engineering teams.

The role emphasizes building ML models, predictive analytics, digital twins, and dashboards to drive OEE, yield, and process stability while ensuring governance and data integrity.

Qualifications

• Bachelor's degree in a relevant technical field.
• Experience deploying ML models in manufacturing environments.
• Knowledge of AI governance, data security, and regulatory compliance.

Responsibilities

• Develop, train, and deploy ML models for manufacturing applications.
• Create predictive analytics to improve quality, throughput, and reliability.
• Design AI-based systems for anomaly detection and predictive maintenance.
• Build computer vision for automated inspection and verification.
• Collaborate with cross-functional teams to identify high-value AI use cases.
• Develop scalable data pipelines and dashboards for insights.

Skills

Python programming

Cross-functional collaboration

Problem-solving

Communication

Data analysis

Education

Bachelor’s degree in Computer Science / Electrical Engineering / Industrial Engineering / Data Science / Manufacturing Engineering

Tools

MLOps tooling

TensorFlow

PyTorch

Scikit-Learn

SQL

Dashboarding / Visualization tools

Job description

Itron, Inc. is seeking an AI Manufacturing Engineer to design, deploy, and support AI-enabled solutions for manufacturing efficiency and product quality. You will translate business needs into scalable AI applications and collaborate across Manufacturing, Quality, Operations, and Test Engineering teams.

The role emphasizes building ML models, predictive analytics, digital twins, and dashboards to drive OEE, yield, and process stability while ensuring governance and data integrity.