AI Manufacturing Engineer

Itron, Inc.; Raleigh (NC); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

401k matching

Employee stock purchase program

Hybrid work schedule

Paid vacation

Job summary

Itron, Inc. is seeking an AI/ML Engineer to develop and deploy machine learning models for manufacturing applications. You will build predictive analytics, anomaly detection, and computer vision solutions while collaborating across Manufacturing, Quality, and Operations to drive yields and process improvements.

The role emphasizes AI governance, scalable data pipelines, and integration with MES/ERP/PLM systems, with a focus on Industry 4.0 initiatives and continuous improvement.

Qualifications

• Bachelor's degree in a related technical field.
• Experience with Python or similar programming languages.
• Experience with MLOps, model deployment, monitoring, and lifecycle management.
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn.
• Experience with data analysis, statistics, predictive modeling, and analytics.
• Experience working with SQL databases and large-scale datasets.
• Understanding of manufacturing processes and industrial automation.
• Experience in manufacturing/industrial or related engineering disciplines.
• Experience deploying AI in manufacturing environments.
• Experience developing dashboards and data visualization solutions.
• Strong problem-solving and clear communication.

Responsibilities

• Develop, train, validate, and deploy ML models for manufacturing applications.
• Build predictive analytics solutions to improve quality, throughput, and equipment reliability.
• Design AI-based systems for anomaly detection and predictive maintenance.
• Develop computer vision solutions for automated inspection and process verification.
• Collaborate with cross-functional SMEs to identify AI use cases and prioritize implementations.
• Support Industry 4.0 initiatives with AI-enabled manufacturing solutions.
• Integrate AI apps with MES, ERP, PLM, and other manufacturing systems.
• Create dashboards and monitoring tools that convert data into actionable insights.
• Implement digital twins and process simulations to boost efficiency and decision-making.
• Develop scalable data pipelines from production, quality, and operations data.
• Ensure model accuracy, data integrity, and regulatory compliance.
• Establish AI governance, monitoring, and lifecycle management practices.
• Partner with Manufacturing Engineering to improve yields and OEE.
• Support NPI analytics and process optimization.
• Collaborate with Test Engineering to improve coverage and test efficiency.
• Participate in continuous improvement using AI-driven insights.
• Work cross-functionally to deliver business results and communicate outcomes effectively.

Skills

Python

MLOps

Model deployment

TensorFlow

PyTorch

Scikit-Learn

Data analysis

Predictive modeling

SQL databases

Data visualization

Azure

Education

Bachelor's degree in Computer Science, Electrical Engineering, Industrial Engineering, Data Science, Manufacturing Engineering, or a related technical field

Tools

MES

ERP platforms

PLM systems

Cloud platforms (Azure)

Job description

Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us.

Duties & Responsibilities

• Develop, train, validate, and deploy machine learning models for manufacturing applications.
• Build predictive analytics solutions that improve product quality, throughput, equipment reliability, process optimization, and customer outcomes.
• Design AI-based systems for anomaly detection, defect classification, root-cause analysis, and predictive maintenance.
• Develop computer vision solutions for automated inspection, quality assurance, and manufacturing process verification.
• Collaborate with manufacturing, quality, operations, and test engineering subject matter experts to identify high-value AI use cases and prioritize implementation opportunities.
• Support Industry 4.0 initiatives through the deployment of AI-enabled manufacturing solutions that drive operational excellence and innovation.
• Integrate AI applications with Manufacturing Execution Systems (MES), Enterprise Resource Planning (ERP) platforms, Product Lifecycle Management (PLM) systems, manufacturing databases, test systems, and production equipment.
• Create dashboards, monitoring tools, and decision-support systems that transform manufacturing data into actionable insights.
• Implement digital twins and process simulation capabilities to improve manufacturing efficiency and decision-making.
• Develop scalable data pipelines for structured and unstructured manufacturing data from production, quality, and operational systems.
• Ensure model accuracy, reproducibility, data integrity, cybersecurity requirements, and regulatory compliance.
• Establish and maintain best practices for AI governance, model monitoring, lifecycle management, and responsible AI deployment.
• Partner with Manufacturing Engineering teams to improve production yields, cycle times, Overall Equipment Effectiveness (OEE), capacity utilization, and process stability.
• Support New Product Introduction (NPI) activities through data-driven manufacturing analytics and process optimization.
• Collaborate with Test Engineering teams to improve automated test coverage, diagnostic capability, and test efficiency.
• Participate in continuous improvement initiatives using AI-driven insights and data-informed decision making.
• Work cross-functionally with Operations, Quality, Product Development, Supply Chain, Information Technology, and other stakeholders to deliver business results.
• Communicate technical findings, recommendations, and project outcomes effectively to both technical and non-technical audiences.
• Provide guidance, training, and mentorship on AI technologies, advanced analytics, and data-driven decision-making practices.
• Stay current on emerging AI technologies, manufacturing innovations, industry trends, and best practices.
• Demonstrate accountability for project execution, deliverables, and measurable business impact while contributing to a culture of agility, collaboration, authenticity, and innovation.

Required Skills & Experience

• Bachelor's degree in Computer Science, Electrical Engineering, Industrial Engineering, Data Science, Manufacturing Engineering, or a related technical field.
• Experience developing solutions using Python or similar programming languages.
• Experience with MLOps, model deployment, monitoring, and lifecycle management.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, or equivalent technologies.
• Experience with data analysis, statistics, predictive modeling, and advanced analytics techniques.
• Experience working with SQL databases, data processing tools, and large-scale datasets.
• Understanding of manufacturing processes, industrial automation, quality systems, operational environments, or related production systems.
• Experience in manufacturing engineering, industrial engineering, test engineering, quality engineering, operations engineering, or related disciplines.
• Experience implementing AI agents and intelligent automation solutions for manufacturing and quality process improvements.
• Experience developing dashboards, reporting tools, and data visualization solutions.
• Strong problem-solving, analytical thinking, and root-cause investigation skills.
• Ability to communicate complex technical concepts clearly and effectively to diverse audiences.
• Ability to work collaboratively across multiple functions, teams, and geographic locations.
• Strong project management, execution, and organizational skills.
• Demonstrated ability to deliver customer-focused solutions that drive operational improvements and business results.
• Commitment to continuous learning, innovation, accountability, and inclusive collaboration.

Preferred Skills & Experience

• Experience with computer vision, industrial image processing, and automated inspection technologies.
• Experience with cloud platforms such as Microsoft Azure and cloud-based AI services.
• Knowledge of Industrial Internet of Things (IIoT), MES, SCADA, PLCs, industrial control systems, and manufacturing data platforms.
• Experience deploying AI and machine learning solutions in production manufacturing environments.
• Familiarity with Statistical Process Control (SPC), Six Sigma, Lean Manufacturing, Kaizen, or continuous improvement methodologies.
• Knowledge of electronics manufacturing, utility products, smart metering technologies, test systems, industrial equipment, or energy-focused manufacturing operations.
• Experience working with digital twin technologies, simulation tools, or advanced manufacturing analytics platforms.
• Familiarity with data governance, responsible AI practices, cybersecurity principles, and regulatory compliance requirements.
• Experience supporting smart factory, connected factory, or Industry 4.0 transformation initiatives.
• Advanced degree in a relevant engineering, computer science, data science, or analytics discipline.

Benefits Info

This position also includes a competitive benefit package including; financial, social, health and wellbeing programs, paid vacation, 401k matching, employee stock purchase program, hybrid work schedule, and more!

Equal Opportunity & Accommodation

Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees.

The successful candidate's starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience.

Itron is proud to be an Equal Opportunity Employer.

If you require an accommodation to apply, please contact a recruiting representative at 1-800-635-5461 or email [e-mail].

Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world: www.itron.com