AI Solutions Intern — Manufacturing & Supply Chain

Generac; Waukesha (WI); Vor Ort; USD 45.000 - 60.000; Vollzeit

Zusammenfassung

Generac is seeking a highly motivated Master's-level Engineering Intern to join the AI Solutions team at our corporate headquarters in Waukesha, WI. The role bridges AI, analytics, manufacturing operations, and supply chain optimization to improve efficiency and decision-making.

You will partner with data scientists, engineers, and stakeholders to develop AI-enabled solutions, build models and dashboards, and contribute to digitization efforts across the enterprise.

Qualifikationen

• Pursuing a master's degree in a relevant engineering or data science field.
• Strong analytical and problem-solving abilities with data focus.
• Proficiency in Excel and ability to communicate technical concepts clearly.

Aufgaben

• Support development, testing, and implementation of AI-enabled solutions for operations.
• Analyze operational data to find trends and automation opportunities.
• Build data models, dashboards, and predictive analytics using enterprise data.
• Collaborate with cross-functional stakeholders to translate challenges into analytics.
• Contribute to pilot projects involving ML, AI, optimization, and automation.
• Document methods, results, and lessons learned for scale across the enterprise.
• Prepare presentations summarizing findings, value, and implementation considerations.

Kenntnisse

Analytical thinking

Excel proficiency

Communication skills

Independent work

Cross-functional collaboration

Ausbildung

Master's degree in Industrial/Manufacturing/Systems/Mechanical Engineering, Data Science, OR related field

Tools

Python

R

SQL

Power BI

Tableau

Jobbeschreibung

Generac is seeking a highly motivated Master's-level Engineering Intern to join the AI Solutions team at our corporate headquarters in Waukesha, WI. The role bridges AI, analytics, manufacturing operations, and supply chain optimization to improve efficiency and decision-making.

You will partner with data scientists, engineers, and stakeholders to develop AI-enabled solutions, build models and dashboards, and contribute to digitization efforts across the enterprise.