Manufacturing Engineer Internship - Onsite Only

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:

1. Analyze manufacturing processes and identify opportunities for productivity, quality, and cost improvements.

2. Utilize AI tools and data analytics to generate insights from production and operational data.

3. Support development of dashboards, KPIs, and reporting tools for manufacturing performance.

4. Assist with process mapping, time studies, workflow analysis, and lean manufacturing initiatives.

5. Collaborate with engineering and operations teams to evaluate automation opportunities.

6. Participate in continuous improvement projects focused on safety, quality, delivery, and productivity.

7. Research and test emerging AI technologies and their potential applications in manufacturing environments.

8. Develop documentation, process instructions, and project reports.

9. Support problem-solving activities using root cause analysis and data-driven decision making.