1. Continuous Improvement & Innovation

• Lead and support continuous improvement initiatives (LEAN, Kaizen) with a strong focus on AI and robotic applications.
• Design and develop basic AI-driven tools and applications to improve production efficiency, quality control, and data management.
• Analyze production data to identify automation opportunities and optimize manufacturing processes.

2. System Maintenance & Support

• Install, configure, and maintain hardware and software for AI systems, including servers, GPUs, and specialized frameworks (e.g., TensorFlow, PyTorch).
• Troubleshoot, resolve, and maintain automation systems (PLCs, robotics) to ensure minimal downtime and optimal performance.
• Develop and maintain technical documentation, schematics, and SOPs for both new and existing automation systems.

3. Troubleshooting & Debugging

• Diagnose and resolve technical issues related to AI models, robotics, and infrastructure to ensure system stability and performance.
• Provide hands-on support to quickly identify and fix operational issues affecting production.

4. Project Deployment & Execution

• Collaborate with global and local teams to plan and execute the deployment of new automation, AI, and robotics projects.
• Work closely with AI Engineers and Data Scientists to ensure seamless integration of AI models into production environments.
• Coordinate with stakeholders to align technical solutions with business and operational requirements.

5. Monitoring & Optimization

• Continuously monitor AI system performance, analyze logs, and report on key performance indicators (KPIs).
• Proactively identify and implement improvements to enhance system reliability, scalability, and efficiency.

6. Data Management

• Support data collection, cleaning, and preprocessing activities to prepare high-quality datasets for AI model training and validation.
• Ensure compliance with data governance and security standards.

7. Collaboration & Communication

• Work closely with cross-functional teams, including R&D, software engineering, product management, and operations, to meet project goals.
• Provide clear communication and technical guidance to both technical and non-technical stakeholders.

8. Documentation & Reporting

• Maintain comprehensive documentation for processes, configurations, troubleshooting procedures, and system updates.
• Prepare regular reports for management on project progress and system performance.

9. Other Duties

• Perform other tasks assigned by the supervisor to support departmental and organizational objective

1. Education:

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Control Automation, Computer Science, or a related technical field.
• A combination of relevant experience and certifications may also be considered.

2. Experience:

• 0 - 2 years of experience in a similar role.
• Fresh graduates with strong academic performance and an open mindset are also welcome.

3. Technical Skills:

• Strong expertise in Control Automation, including PLCs and HMI systems, as well as industrial robotics.
• Solid foundation in computer science principles and understanding of AI concepts, including machine learning and deep learning.
• Proficiency in programming languages commonly used in AI, such as Python (C# is a plus).
• Familiarity with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Basic data analysis skills to support AI model development and process optimization.

4. Process & Improvement Mindset:

• Knowledge of continuous improvement methodologies, such as LEAN, Six Sigma, DMAIC, GSTD is an advantage.

5. Soft Skills:

• Strong problem-solving and analytical abilities with attention to detail.
• Excellent communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders.
• Highly organized, detail-oriented, and capable of working effectively in cross-functional, global teams.

Please send your resume via thao.d.tran@ap.averydennison.com