Intern AI Engineering

We believe power is a promise - a shared commitment to be there for others when it matters most.

For more than 65 years weve turned big ideas into solutions that help protect homes strengthen businesses and build a more resilient efficient sustainable energy future.

Ready to Power a Smarter World with us

Position Overview

Generac is seeking a highly motivated Masters-level Engineering Intern to join the AI Solutions team supporting Corporate Operations and Supply Chain. This internship offers the opportunity to work at the intersection of artificial intelligence advanced analytics manufacturing operations and supply chain optimization.

You will partner with business leaders data scientists engineers and operational stakeholders to identify opportunities where AI machine learning automation and digital technologies can improve efficiency decision-making quality and customer outcomes. The role provides hands-on experience developing and evaluating innovative solutions that support digital transformation and operational excellence.

Thi s position is required to work on site at our corporate headquarters in Waukesha WI during scheduled work hours

Essential Duties

Support the development testing and implementation of AI-enabled solutions for manufacturing supply chain quality and corporate operations.

Analyze operational and supply chain data to identify trends inefficiencies and opportunities for automation or process improvement.

Assist in building data models dashboards predictive analytics and decision-support tools using enterprise data.

Collaborate with cross-functional stakeholders to gather business requirements and translate operational challenges into analytical solutions.

Contribute to pilot projects involving machine learning generative AI optimization algorithms process automation and intelligent workflows.

Research emerging AI technologies and industry practices relevant to manufacturing and supply chain environments.

Prepare clear presentations and recommendations that summarize findings potential business value and implementation considerations.

Document methodologies results and lessons learned to help scale successful solutions across the enterprise.

Potential Project Areas

Supply and demand planning optimization

Supplier collaboration and procurement analytics

Inventory forecasting and replenishment modeling

Quality improvement through AI-driven insights

Manufacturing process automation

Generative AI for operational productivity

Predictive maintenance analytics

Advanced reporting and business intelligence

Education

Currently pursuing masters degree in Industrial Engineering Manufacturing Engineering Systems Engineering Mechanical Engineering Data Science Operations Research Supply Chain Analytics Computer Engineering or a related discipline.

Knowledge Skills & Abilities

Strong analytical quantitative and problem-solving skills.

Experience with statistical analysis quantitative modeling or data analysis.

Advanced proficiency in Microsoft Excel.

Strong written and verbal communication skills with the ability to explain technical concepts to varied audiences.

Ability to work independently while collaborating effectively across functions.

Preferred Qualifications

Experience with Python R SQL or a similar programming language.

Exposure to machine learning artificial intelligence predictive analytics or optimization.

Familiarity with manufacturing supply chain or operations environments.

Experience with Power BI Tableau or another visualization platform.

Knowledge of simulation operations research or process-improvement methodologies.

Experience working with large datasets or cloud-based analytics environments.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation national origin disability status protected veteran status or any other characteristic protected by law.

Required Experience:

Intern