AI Solutions Intern: Manufacturing & Supply Chain

West Coast Energy Systems

Waukesha (WI)

On-site

USD 25,000 - 36,000

Part time

4 days ago
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Job summary

Generac is seeking a highly motivated Master's-level Engineering Intern to join the AI Solutions team at our Waukesha headquarters. The role sits at the intersection of AI, analytics, manufacturing operations, and supply chain optimization, offering hands-on experience building models and dashboards using enterprise data.

You will work with data scientists, engineers, and business stakeholders to identify opportunities where AI and automation can improve efficiency, quality, and customer

Qualifications

  • Pursuing a master's degree in a relevant engineering, data science, or operations research field.
  • Strong analytical and quantitative problem-solving abilities.
  • Ability to communicate technical concepts clearly to diverse audiences.

Responsibilities

  • Support development and deployment of AI-enabled solutions for manufacturing, supply chain, quality, and operations.
  • Analyze operational data to identify trends, inefficiencies, and automation opportunities.
  • Build data models, dashboards, and predictive analytics using enterprise data.
  • Collaborate with stakeholders to translate challenges into analytical solutions.
  • Contribute to pilot projects involving machine learning, optimization, and automation.

Skills

Analytical skills
Communication
Independent with cross-functional work

Education

Master's degree in Industrial Engineering
Master's degree in Manufacturing/Systems Engineering
Data Science / Operations Research background

Tools

Python
R
SQL
Power BI
Tableau

Job description

Generac is seeking a highly motivated Master's-level Engineering Intern to join the AI Solutions team at our Waukesha headquarters. The role sits at the intersection of AI, analytics, manufacturing operations, and supply chain optimization, offering hands-on experience building models and dashboards using enterprise data.

You will work with data scientists, engineers, and business stakeholders to identify opportunities where AI and automation can improve efficiency, quality, and customer

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