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.