Industrial Engineer

Responsible for optimizing manufacturing processes using Industrial Engineering methodologies and continuous improvement initiatives, integrated with AI and automation solutions to enhance productivity, quality, and operational performance.
Industrial Engineering & Continuous Improvement:

Design and optimize production layout, workstation ergonomics, and material flow.
Lead Kaizen activities and continuous improvement projects with cross- functional teams.
Conduct time and motion studies to establish standard times and productivity targets.
Monitor production performance using IE metrics such as OEE, cycle time, takt time, and throughput.
Perform line balancing, labor analysis, and capacity planning for production lines.
Support New Product Introduction (NPI) by evaluating process capability and production constraints.
Identify and eliminate waste using lean manufacturing tools.
Analyze production processes and workflows to identify bottlenecks and improvement opportunities.

AI, Automation & Data Analytics:

Develop and use digital or AI- based tools to support IE analysis and process optimization.
Build dashboards and reports using Power BI or Tableau to track KPIs and operational performance.
Analyze production and engineering data to identify trends, inefficiencies, and improvement opportunities.
Support the implementation of automation and IoT systems for real- time data collection and monitoring.
Research and evaluate new technologies (AI, Machine Learning, IoT) for application in manufacturing.
Collaborate with IT and Automation teams to integrate digital solutions with ERP/MRP systems.

General Responsibilities:

Perform other tasks as assigned by management.
Provide training and technical support to production teams on IE standards, lean tools, and work methods.
Prepare and maintain standard operating procedures (SOPs), IE standards, and improvement documentation.

Education:

Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, or a related field.
Knowledge of Data Science, Automation, or Computer Science is an advantage.
Certifications in AI, IoT, or Data Analytics are a plus.

Experience:

Experience leading Kaizen or continuous improvement projects.
Experience with data analysis, automation systems, or digital tools is preferred.
Experience working with cross- functional teams.
At least 2- 3 years of experience in Industrial Engineering, manufacturing, or process improvement.
Hands- on experience in time study, process improvement, layout design, and productivity analysis.

Technical Skills:

Strong knowledge of Industrial Engineering methods: time study, line balancing, capacity and labor analysis.
Basic understanding of AI/ML and IoT technologies.
Familiarity with ERP/MRP systems.
Basic to intermediate knowledge of Python and SQL.
Data analysis and visualization skills (Advanced Excel, Power BI or Tableau).

Core Competencies:

Ability to manage improvement projects and drive change.
Good communication and collaboration skills.
Ability to combine IE methodologies with digital and data- driven tools.
Detail- oriented and result- driven mindset.
Strong analytical and problem- solving skills.

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Cập nhật gần nhất lúc: 2026-02-13 08:25:02