Hybrid Manufacturing Engineer: Process Optimization

Pernod Ricard España SA; Fort Smith, Northern (AR, KY); Hybrid; USD 78,000 - 98,000; Full time

Benefits offered by this job

Hybrid work option

Benefits program

Job summary

Pernod Ricard USA in Fort Smith, AR seeks a Manufacturing Engineer to evaluate and improve production processes, ensuring quality and cost-efficiency while meeting safety and regulatory standards. The role emphasizes cross-functional collaboration, data analysis, and the development of layouts for equipment and workflows.

The ideal candidate has a manufacturing/industrial/mechanical engineering degree, 4–5 years of experience, and proficiency with CAD/CAM, data analysis tools, and Microsoft

Qualifications

• Analytical thinking to troubleshoot designs and processes.
• Ability to apply industrial engineering concepts to production problems.
• Strong communication to collaborate with production teams.
• Proficiency in math for analysis, design and troubleshooting.

Responsibilities

• Evaluate existing manufacturing processes and identify improvements.
• Develop layouts for equipment, processes, and workflow.
• Research and develop new processes, equipment and products.
• Ensure safety, quality, and regulatory conformance in operations.
• Analyze production data and provide recommendations to maintenance and production teams.
• Monitor and test equipment performance throughout production.

Skills

Analytical skills

Ingenuity

Interpersonal skills

Math skills

Education

Degree in manufacturing, industrial, or mechanical engineering

4-5 years of manufacturing/industrial engineering experience

Tools

CAD

CAM

Data analysis software

Microsoft Office

Visio

Project

Job description

Pernod Ricard USA in Fort Smith, AR seeks a Manufacturing Engineer to evaluate and improve production processes, ensuring quality and cost-efficiency while meeting safety and regulatory standards. The role emphasizes cross-functional collaboration, data analysis, and the development of layouts for equipment and workflows.

The ideal candidate has a manufacturing/industrial/mechanical engineering degree, 4–5 years of experience, and proficiency with CAD/CAM, data analysis tools, and Microsoft