Intern AI Engineering

Location: Onsite at the corporate headquarters in Waukesha, Wisconsin, United States, during scheduled work hours.

Company

hirify.global develops solutions for homes, businesses, and energy operations focused on resilience, efficiency, and sustainability.

What you will do

• 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, automation opportunities, and process improvements.
• Assist in building data models, dashboards, predictive analytics, and decision-support tools using enterprise data.
• Collaborate with business leaders, data scientists, engineers, and operational stakeholders to translate business requirements into analytical solutions.
• Contribute to pilot projects involving machine learning, generative AI, optimization algorithms, process automation, and intelligent workflows.
• Research relevant AI technologies, prepare recommendations and presentations, and document methodologies, results, and lessons learned.

Requirements

• Currently pursuing a master's degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, Mechanical Engineering, Data Science, Operations Research, Supply Chain Analytics, Computer Engineering, or a related discipline.
• 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.

Nice to have

• 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.

Culture & Benefits

• Onsite collaboration with business leaders, data scientists, engineers, and operational stakeholders.
• Hands-on experience supporting digital transformation and operational excellence.
• Opportunity to work on supply and demand planning, procurement analytics, inventory forecasting, quality improvement, manufacturing automation, predictive maintenance, generative AI, and business intelligence projects.
• Equal opportunity employment is provided to qualified applicants without regard to legally protected characteristics.