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
Qualifications :
1. Education:
- Bachelors 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.
Additional Information :
Please send your resume via
Remote Work :
No
Employment Type :
Full-time
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 productio...
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
Qualifications :
1. Education:
- Bachelors 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.
Additional Information :
Please send your resume via
Remote Work :
No
Employment Type :
Full-time
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