Lean AI Industrial Engineer: Data-Driven Labor Optimization

AirLife group

Glendale (AZ)

On-site

USD 85,000 - 110,000

Full time

8 days ago

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Benefits offered by this job

Medical coverage

401(k)

Paid time off

Job summary

AirLife is seeking an Industrial Engineer to optimize distribution-center labor with AI-driven forecasting and analytics. You will apply statistical methods and ML techniques to improve productivity, maintain standards, and provide data-backed insights across operations.

The role emphasizes ongoing improvement, training, and cross-functional collaboration. The engineer will develop dashboards, support CI initiatives, and work with automation and material-handling systems to boost throughput and

Qualifications

Bachelor's degree in Industrial Engineering or related field.
3+ years in Industrial Engineering.
1+ years with AI applications in supply chain.
Experience in warehousing and logistics.

Responsibilities

Develop, validate, and maintain time-studied standards using AI-assisted analysis.
Create a culture of performance management through standard work and KPIs.
Provide training to operations teams on labor management and systems.
Create a productivity playbook using CI/Lean principles and technology.
Develop AI/ML-based models for demand and labor forecasting and predictive maintenance.
Build AI-enabled dashboards and reporting tools for real-time KPIs.
Write SOPs for operations and ensure training programs.
Evaluate layouts and equipment using simulation and AI-driven modeling.