Remote Manufacturing Process Optimization Engineer

Placements24; Midrand; Hybrid; ZAR 480,000 - 720,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Remote work tools

Professional development

Generous PTO

Job summary

Placements24 is seeking a highly skilled Remote Manufacturing Process Engineer to optimize production processes, enhance efficiency, and ensure top quality across manufacturing operations. You will analyze data, design new processes, and collaborate with on-site teams from a distance.

The role requires at least 5 years in manufacturing process engineering, a degree in Industrial, Mechanical or Chemical Engineering, and proficiency with process simulation software and statistical tools.

Qualifications

• Bachelor's degree in Industrial, Mechanical, Chemical Engineering or related field.
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Responsibilities

• Analyze existing manufacturing processes to identify bottlenecks and inefficiencies.
• Design, develop, and implement new manufacturing processes to enhance productivity and reduce costs.
• Conduct data analysis using statistical methods to monitor process performance and quality.
• Collaborate virtually with cross-functional teams to implement process changes.
• Develop and maintain SOPs and training materials for remote and on-site personnel.
• Troubleshoot production issues remotely to ensure seamless operations.

Skills

Lean manufacturing

Data analysis

Process optimization

Remote collaboration

Education

Bachelor's in Industrial/Mechanical/Chemical Engineering

Tools

Minitab

Excel

Process simulation software

Job description

Placements24 is seeking a highly skilled Remote Manufacturing Process Engineer to optimize production processes, enhance efficiency, and ensure top quality across manufacturing operations. You will analyze data, design new processes, and collaborate with on-site teams from a distance.

The role requires at least 5 years in manufacturing process engineering, a degree in Industrial, Mechanical or Chemical Engineering, and proficiency with process simulation software and statistical tools.