Industrial Engineer

Key Responsibilities

• 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:
• Conduct time and motion studies to establish standard times and productivity targets.
• Analyze production processes and workflows to identify bottlenecks and improvement opportunities.
• Design and optimize production layout, workstation ergonomics, and material flow.
• Perform line balancing, labor analysis, and capacity planning for production lines.
• Monitor production performance using IE metrics such as OEE, cycle time, takt time, and throughput.
• Lead Kaizen activities and continuous improvement projects with cross-functional teams.
• Identify and eliminate waste using lean manufacturing tools.
• Support New Product Introduction (NPI) by evaluating process capability and production constraints.
• 2. 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.
• Collaborate with IT and Automation teams to integrate digital solutions with ERP/MRP systems.
• Research and evaluate new technologies (AI, Machine Learning, IoT) for application in manufacturing.
• 3. General Responsibilities:
• 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.
• Perform other tasks as assigned by management.

Requirements

• 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:
• 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.
• Experience leading Kaizen or continuous improvement projects.
• Experience with data analysis, automation systems, or digital tools is preferred.
• Experience working with cross-functional teams.
• Technical Skills:
• Strong knowledge of Industrial Engineering methods: time study, line balancing, capacity and labor analysis.
• Data analysis and visualization skills (Advanced Excel, Power BI or Tableau).
• Basic to intermediate knowledge of Python and SQL.
• Familiarity with ERP/MRP systems.
• Basic understanding of AI/ML and IoT technologies.
• Core Competencies:
• Strong analytical and problem-solving skills.
• Ability to manage improvement projects and drive change.
• Good communication and collaboration skills.
• Detail-oriented and result-driven mindset.
• Ability to combine IE methodologies with digital and data-driven tools.