Lean AI, Industrial Engineer

SunMed LLC

• $80K — $95K *
Manufacturing & Automotive
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in Industrial Engineering.
  • 1+ years of experience using AI within supply chains.
  • Bachelor's degree in Industrial Engineering, Supply Chain, or Logistics required.
  • Proficiency in data analysis tools like Python and SQL preferred.
  • Experience with machine learning for operational problems favored.
  • Strong knowledge of distribution center and logistics concepts necessary.
  • Familiarity with Continuous Improvement methodologies a plus.

Responsibilities

  • Develop and maintain time-studied standards using AI-driven analysis.
  • Create performance management culture with KPIs and productivity meetings.
  • Provide training on labor management systems to operational teams.
  • Design a playbook for productivity improvements utilizing Lean principles.
  • Deploy AI/ML models for labor and demand forecasting.
  • Build automated dashboards for real-time visibility into operational KPIs.
  • Evaluate and recommend layout and equipment optimizations using simulation models.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • 401(k) plan available for retirement savings.
  • Paid time off and holidays to ensure work-life balance.
  • Access to Employee Assistance Program resources.
  • Bereavement leave and medical leave benefits offered.
Full Job Description
POSITION SUMMARY

The Industrial Engineer will provide engineering and project support to Distribution Centers by combining traditional industrial engineering methods with applied AI and advanced analytics. Drive labor optimization by improving productivity through engineered labor standards, AI-driven forecasting and predictive models, KPI's, automation technology, and continuous improvement initiatives supports day-to-day distribution center performance through data analytics, machine learning models, labor management analysis, and visual management tools. This role focuses on using statistical analysis, AI/ML techniques, and operational data to improve labor efficiency, productivity, predictive maintenance, and workflow visibility within the distribution center while supporting continuous improvement initiatives.

POSITION QUALIFICATIONS

Knowledge, Skills, & Abilities:
  • Distribution center/logistics concepts - understanding of warehousing best practices.
  • Ability to drive decision making through data and relevant business metrics.
  • Ability to resolve problems in a timely manner with little or no supervision.
  • Excellent verbal and written communication skills.
  • Strong interpersonal skills and ability to work cross functionally.
  • Must be able to utilize problem solving techniques to identify root causes of failures and solutions to meet targets.
  • Strong business planning and analytical skills including market intelligence, metrics, financial and analysis.
  • Ability to manage project portfolio of varying priorities and impact value.
  • Strong computer skills including Power B.I, MS Office and MSD/MOST experience preferred; proficiency with Python, SQL, or similar tools for data analysis and predictive modeling a plus.
  • Experience applying machine learning or statistical modeling to operational problems (e.g., demand forecasting, labor forecasting, predictive maintenance) preferred.
  • Familiarity with simulation or discrete-event modeling tools (e.g., Arena, FlexSim, AnyLogic) a plus.
  • Experience in developing engineered labor standards.
  • Continuous improvement experience and knowledge of CI methodologies preferred.
  • Experience within the distribution/warehouse/logistics industry preferred.
  • Proficient in RF Scanning and Warehouse Management Systems preferred.
  • Experience in semi and fully automated material handling systems a plus.

Level of Experience:
  • 3+ years of work experience in Industrial Engineering.
  • 1+years of work experience with AI application in supply chain or similar

Level of Education:
  • Bachelor's degree or higher in Industrial Engineering or equivalent degree such as Supply Chain, Operations, Engineering, Logistics is required.

Travel:
  • Up to 10%.

ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Develop, validate, and maintain time-studied standards for overall operation and for each function, leveraging AI-assisted time-and-motion analysis and predictive labor models where applicable
  • Create a culture of performance management through leader standard work, productivity meetings and KPI
  • Provide training to operations teams on labor management and associated systems
  • Create a playbook of productivity improvements using CI/Lean principles and technology
  • Develop and deploy AI/ML-based models (e.g., demand and labor forecasting, predictive maintenance) to support proactive, data-driven decision-making
  • Build and maintain automated, AI-enabled dashboards and reporting tools to increase real-time visibility into labor, throughput, and equipment KPIs
  • Write all SOP's for operations and ensure employee training program in place
  • Evaluate and make recommendations on layouts, MHE and other equipment to optimize productivity, using simulation and AI-driven scenario modeling to validate changes before implementation.

OTHER RESPONSIBILITIES
  • Uphold and embody AirLife's values in all aspects of work.
  • Demonstrate accuracy and thoroughness in daily work; look for ways to improve and promote quality & safety.
  • Inspire the trust of others; treat people with respect and dignity and embrace the value of diversity.
  • Use time efficiently; perform job accurately, thoroughly, and conserve Company resources to improve profits.
  • Contribute to building and maintaining a positive team environment.
  • Assure all policies and guidelines are implemented and followed.

BENEFITS

AirLife offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k), paid time off, paid holidays, bereavement leave, Employee Assistance Program resources, and medical leave benefits, subject to applicable eligibility requirements. Certain positions may also be eligible for bonus, commission, or other incentive compensation.

Please note: The responsibilities outlined above are not exhaustive and may evolve over time. The role holder may be required to undertake additional duties as reasonably expected to meet the needs of the company.

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