Manufacturing Engineer Internship - Onsite Only

JARP Industries, Inc.; Schofield (WI); On-site; USD 17,000 - 28,000; Part time

Job summary

Wipro Hydraulics North America is seeking a Manufacturing Engineer Intern (Part-Time, Onsite) to work in Wisconsin. The role focuses on applying AI, data analytics, and automation to improve production efficiency, quality, safety, and decision-making.

The internship offers hands-on experience across continuous improvement projects, dashboards, KPIs, and collaboration with engineering and operations teams. Flexible schedule (<30 hours/week) and exposure to cutting-edge AI applications are provided.

Qualifications

• Pursuing a Bachelor's degree in Engineering or related field.
• Junior or Senior standing preferred.
• Strong analytical and problem-solving skills.
• Proficient with Microsoft Excel and Office applications.
• Interest in manufacturing operations, continuous improvement, and emerging technologies.

Responsibilities

• Analyze manufacturing processes and identify opportunities for productivity, quality, and cost improvements.
• Utilize AI tools and data analytics to generate insights from production and operational data.
• Support development of dashboards, KPIs, and reporting tools for manufacturing performance.
• Assist with process mapping, time studies, workflow analysis, and lean manufacturing initiatives.
• Collaborate with engineering and operations teams to evaluate automation opportunities.
• Participate in continuous improvement projects focused on safety, quality, delivery, and productivity.
• Research and test emerging AI technologies and their potential applications in manufacturing environments.
• Develop documentation, process instructions, and project reports.
• Support problem-solving activities using root cause analysis and data-driven decision making.

Skills

Generative AI tools

Data analysis

Analytical thinking

Team collaboration

Strong communication

Education

Bachelor's degree in Engineering or related field

Tools

Python

Power BI/Tableau

SQL

Excel

Job description

Description

Manufacturing Engineer Internship (Part-Time, Onsite only)

Schedule: Flexible, less than 30 hours per week

Are you an engineering student who uses AI to solve problems? Join Wipro Hydraulics as a Manufacturing Engineer Intern and help drive the next generation of smart manufacturing through data analytics, automation, continuous improvement, and AI-powered innovation.

Help Shape the Future of Manufacturing with Artificial Intelligence

Wipro Hydraulics North America is seeking a highly motivated Manufacturing Engineer Intern with a passion for Artificial Intelligence, Automation, and Smart Manufacturing. This internship offers a unique opportunity to work alongside experienced manufacturing, engineering, and operations professionals while applying AI technologies to improve production efficiency, quality, safety, and decision-making.

If you're excited about combining engineering principles with cutting‑edge AI tools to transform manufacturing operations, we would love to hear from you.

Position Summary

The Manufacturing Engineer Intern will support continuous improvement initiatives across manufacturing operations while exploring innovative uses of AI and data analytics. The intern will assist with process optimization, workflow automation, production data analysis, and implementation of AI-powered solutions that drive operational excellence.

Essential Duties And Responsibilities

• Analyze manufacturing processes and identify opportunities for productivity, quality, and cost improvements.
• Utilize AI tools and data analytics to generate insights from production and operational data.
• Support development of dashboards, KPIs, and reporting tools for manufacturing performance.
• Assist with process mapping, time studies, workflow analysis, and lean manufacturing initiatives.
• Collaborate with engineering and operations teams to evaluate automation opportunities.
• Participate in continuous improvement projects focused on safety, quality, delivery, and productivity.
• Research and test emerging AI technologies and their potential applications in manufacturing environments.
• Develop documentation, process instructions, and project reports.
• Support problem-solving activities using root cause analysis and data-driven decision making.

Requirements

Preferred AI Experience

• Generative AI tools (ChatGPT, Microsoft Copilot, Claude, Gemini, etc.)
• Machine Learning or Predictive Analytics
• Python programming and data analysis
• Power BI, Tableau, or data visualization tools
• SQL or database management
• Manufacturing data collection and analytics
• Automation and robotics technologies
• Prompt engineering and AI-assisted business applications

Qualifications And Skills

• Currently pursuing a Bachelor's degree in:
  • Manufacturing Engineering
  • Industrial Engineering
  • Mechanical Engineering
  • Computer Engineering
  • Data Science
  • Engineering Technology
  • Related Engineering Discipline
• Junior or Senior standing preferred.
• Strong analytical and problem‑solving skills.
• Proficient with Microsoft Excel and Office applications.
• Excellent communication and teamwork skills.
• Interest in manufacturing operations, continuous improvement, and emerging technologies.

What You'll Gain

• Hands‑on experience in a modern manufacturing environment.
• Exposure to AI applications in real‑world industrial operations.
• Mentorship from experienced manufacturing and engineering leaders.
• Experience with lean manufacturing and continuous improvement initiatives.
• Opportunity to contribute to meaningful projects that create measurable business impact.
• Professional development and networking opportunities.

Why Join Us?

At Wipro Hydraulics, we are investing in the future of manufacturing through innovation, automation, and digital transformation. As an intern, you'll have the opportunity to help build smarter, more efficient operations while gaining valuable experience at the intersection of engineering and artificial intelligence.

Pre-employment Testing

All candidates selected for employment will be required to successfully complete pre‑employment screening, which includes a background check and drug screening. Employment is contingent upon satisfactory completion of all required screening.