Senior Consultant, AI for Smart Manufacturing Execution System Development
Smart Manufacturing Division
Ref: SMD/11116
Job Description
Who we are looking for:
- Creativity in new ideas and future focus vision.
- Collaboration with colleagues and the community at large.
- Work Smart, Play Smart!
What you'll do:
- AI-Enabled MES Solution Leadership: Lead the design and delivery of AI/ML-enabled MES solutions for production scheduling, process optimization, predictive quality, equipment health monitoring, anomaly detection, and real-time decision support, ensuring alignment with operational priorities and business objectives.
- Industrial Data Strategy & Integration: Define manufacturing data strategies, architecture, governance, and integration requirements across machines, sensors, PLC/SCADA systems, quality records, production databases, and enterprise platforms to establish reliable, scalable, and analysis-ready data foundations.
- Intelligent Closed-Loop Execution: Architect and embed AI-driven insights into MES workflows to enable a governed closed-loop cycle of Data Capture → AI Analysis → Decision Recommendation → Operational Execution → Performance Feedback → Model Improvement, with clear controls, accountability, and measurable outcomes.
- Client Advisory & Stakeholder Leadership: Advise senior stakeholders and lead cross-functional engagement with production, process engineering, quality, automation, IT, and data teams to assess operational needs, shape transformation roadmaps, define functional requirements, and convert complex manufacturing challenges into practical, scalable solutions.
- Programme Delivery & Scaling: Own the planning and delivery of assessments, proofs of concept, and pilot programmes; establish KPIs and governance mechanisms; evaluate business and technical performance; manage risks and dependencies; and guide scalable deployment across production lines or sites.
You'll be a good fit if you have/are:
- Bachelor degree or above in Industrial Engineering, Manufacturing Engineering, Automation, Computer Science, Data Science, Artificial Intelligence, or a related discipline; a postgraduate qualification is an advantage.
- Demonstrated experience leading the design, implementation, or advisory delivery of AI/ML solutions for production optimization, predictive quality, predictive maintenance, anomaly detection, computer vision, or intelligent scheduling.
- Strong knowledge of MES architecture, industrial data platforms, solution architecture, system integration, cybersecurity considerations, and common shop-floor technologies and interfaces, including PLCs, SCADAand REST APIs.
- Proficiency in Python and SQL, with the ability to guide technical teams across data engineering, visualization, cloud or edge deployment, MLOps, and integration with ERP, APS, QMS, WMS, and other manufacturing systems.
- Understanding of shop-floor operations, production workflows, equipment connectivity, traceability, quality management, and Industry 4.0 principles, combined with demonstrated capability in client advisory, stakeholder management, workshop facilitation, proposal development, project governance, and delivery leadership.
- Candidates who can demonstrate knowledge of AI, or experience and ability to apply Generative AI tools in their work, will be preferred
- Candidate with less experience will be considered as Consultant, AI for Smart Manufacturing Execution System Development
Note:
- Applicant may be considered for other positions if not matching the requirements of the subject position.
- This is a fixed-term contract position for a period of 24 months subject to renewal.
What we offer and What you’ll like here:
- Exciting new technology development (e.g. IoT, 5G, LoRA, AI etc.) to actualize your creative ideas
- Opportunities to work with our innovative and vibrant talents
- Dynamic and energetic culture with smart outfits & sport shoes
- Academic training scholarship to take your career up a notch
- Dental benefit
- Medical benefits from Day-1 with extended coverage to dependent(s)
Apply now if you’re ready to take the challenge! Do not miss this opportunity to join us to Create Value and “MAKE SMART SMARTER”!
HKPC will take into consideration both the quantitative and qualitative requirements of the post when selecting the suitable candidates. A competitive salary package commensurate with academic qualifications and experience will be offered. The successful candidate will be employed on a fixed-term contract basis, which is renewable subject to appointee’s performance and the Council’s development needs.
Applicants are welcome to submit application at the HKPC e-Recruitment System (careers.hkpc.org) in 1 week from the posting date. Recruitment will continue until the position is filled.
Applicants not invited for interviews within 6 weeks may consider their applications unsuccessful. All information provided by applicants will be treated with strict confidence and used solely for recruitment purposes. The personal data of unsuccessful applicants will be retained for 12 months from the date the recruitment process is completed.
Senior Consultant, AI for Smart Manufacturing Execution System Development
Smart Manufacturing Division
Ref: SMD/11116
Job Description
Who we are looking for:
- Creativity in new ideas and future focus vision.
- Collaboration with colleagues and the community at large.
- Work Smart, Play Smart!
What you'll do:
- AI-Enabled MES Solution Leadership: Lead the design and delivery of AI/ML-enabled MES solutions for production scheduling, process optimization, predictive quality, equipment health monitoring, anomaly detection, and real-time decision support, ensuring alignment with operational priorities and business objectives.
- Industrial Data Strategy & Integration: Define manufacturing data strategies, architecture, governance, and integration requirements across machines, sensors, PLC/SCADA systems, quality records, production databases, and enterprise platforms to establish reliable, scalable, and analysis-ready data foundations.
- Intelligent Closed-Loop Execution: Architect and embed AI-driven insights into MES workflows to enable a governed closed-loop cycle of Data Capture → AI Analysis → Decision Recommendation → Operational Execution → Performance Feedback → Model Improvement, with clear controls, accountability, and measurable outcomes.
- Client Advisory & Stakeholder Leadership: Advise senior stakeholders and lead cross-functional engagement with production, process engineering, quality, automation, IT, and data teams to assess operational needs, shape transformation roadmaps, define functional requirements, and convert complex manufacturing challenges into practical, scalable solutions.
- Programme Delivery & Scaling: Own the planning and delivery of assessments, proofs of concept, and pilot programmes; establish KPIs and governance mechanisms; evaluate business and technical performance; manage risks and dependencies; and guide scalable deployment across production lines or sites.
You'll be a good fit if you have/are:
- Bachelor degree or above in Industrial Engineering, Manufacturing Engineering, Automation, Computer Science, Data Science, Artificial Intelligence, or a related discipline; a postgraduate qualification is an advantage.
- Demonstrated experience leading the design, implementation, or advisory delivery of AI/ML solutions for production optimization, predictive quality, predictive maintenance, anomaly detection, computer vision, or intelligent scheduling.
- Strong knowledge of MES architecture, industrial data platforms, solution architecture, system integration, cybersecurity considerations, and common shop-floor technologies and interfaces, including PLCs, SCADAand REST APIs.
- Proficiency in Python and SQL, with the ability to guide technical teams across data engineering, visualization, cloud or edge deployment, MLOps, and integration with ERP, APS, QMS, WMS, and other manufacturing systems.
- Understanding of shop-floor operations, production workflows, equipment connectivity, traceability, quality management, and Industry 4.0 principles, combined with demonstrated capability in client advisory, stakeholder management, workshop facilitation, proposal development, project governance, and delivery leadership.
- Candidates who can demonstrate knowledge of AI, or experience and ability to apply Generative AI tools in their work, will be preferred
- Candidate with less experience will be considered as Consultant, AI for Smart Manufacturing Execution System Development
Note:
- Applicant may be considered for other positions if not matching the requirements of the subject position.
- This is a fixed-term contract position for a period of 24 months subject to renewal.
What we offer and What you’ll like here:
- Exciting new technology development (e.g. IoT, 5G, LoRA, AI etc.) to actualize your creative ideas
- Opportunities to work with our innovative and vibrant talents
- Dynamic and energetic culture with smart outfits & sport shoes
- Academic training scholarship to take your career up a notch
- Dental benefit
- Medical benefits from Day-1 with extended coverage to dependent(s)
Apply now if you’re ready to take the challenge! Do not miss this opportunity to join us to Create Value and “MAKE SMART SMARTER”!
HKPC will take into consideration both the quantitative and qualitative requirements of the post when selecting the suitable candidates. A competitive salary package commensurate with academic qualifications and experience will be offered. The successful candidate will be employed on a fixed-term contract basis, which is renewable subject to appointee’s performance and the Council’s development needs.
Applicants are welcome to submit application at the HKPC e-Recruitment System (careers.hkpc.org) in 1 week from the posting date. Recruitment will continue until the position is filled.
Applicants not invited for interviews within 6 weeks may consider their applications unsuccessful. All information provided by applicants will be treated with strict confidence and used solely for recruitment purposes. The personal data of unsuccessful applicants will be retained for 12 months from the date the recruitment process is completed.