Consultant, Industrial AI
New Industrialisation Division
Ref: NID/11122
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:
- Execute technology projects and industry-wide enhancement projects for New Industrialisation and Smart Manufacturing, with a focus on Industrial AI and AI-enabled manufacturing solutions.
- Conduct intensive technology search to identify emerging development directions in AI and Industrial AI, including but not limited to machine learning, computer vision, generative AI, Physical AI, digital twins, predictive analytics, edge AI, robotics, IoT and autonomous systems, and assess their applicability to manufacturing.
- Design, develop and support pilot AI solutions and proof-of-concepts for manufacturing use cases such as defect detection and quality inspection, predictive maintenance, process optimisation, smart scheduling, robotic automation, energy optimisation, supply-chain analytics and digital-twin simulation.
- Partner with local and overseas R&D centres, universities and technology vendors to accelerate technology transfer, co-development, integration and commercialisation of AI-enabled manufacturing solutions.
- Undertake technology promotion, demonstration and commercialisation activities to create industry awareness, support business pitching and accelerate adoption of Industrial AI, particularly among SMEs and traditional manufacturers.
- Support new product development and smart manufacturing pilots, including Computer Aided Design & Engineering (CAD&E), 3D modelling, prototyping, testing & certification and pilot run, integrating AI into product and process development where applicable.
- Travel to the Mainland and Overseas for business activities and service delivery as required.
- Perform any ad hoc tasks assigned.
You'll be a good fit if you have/are:
- Bachelor’s degree or above in Computer Science, Data Analytics, Deep Learning, Artificial Intelligence, Mechatronics, Industrial/Manufacturing Engineering or a related discipline.
- Relevant experience in applied R&D, product development or manufacturing for New Industrialisation and Smart Manufacturing, with exposure to Industrial AI or AI-enabled manufacturing projects.
- Hands-on experience in technical AI projects, e.g. Machine learning, computer vision, generative AI, robotics, digital twins or predictive analytics, would be an advantage.
- Hands-on experience in new product development, CAD&E, 3D modelling, prototyping, testing & certification, pilot run, etc.
- Solid understanding of manufacturing systems, IoT, automation and Industry 4.0 concepts, with the ability to translate AI concepts into shop-floor applications.
- Strong commitment and a positive, results-oriented attitude; sensitive and fast to adopt emerging technologies; strong business and financial accountability and ownership; excellent interpersonal, time and project management and leadership skills; able to work under pressure and independently; excellent presentation skills.
Consultant, Industrial AI
New Industrialisation Division
Ref: NID/11122
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:
- Execute technology projects and industry-wide enhancement projects for New Industrialisation and Smart Manufacturing, with a focus on Industrial AI and AI-enabled manufacturing solutions.
- Conduct intensive technology search to identify emerging development directions in AI and Industrial AI, including but not limited to machine learning, computer vision, generative AI, Physical AI, digital twins, predictive analytics, edge AI, robotics, IoT and autonomous systems, and assess their applicability to manufacturing.
- Design, develop and support pilot AI solutions and proof-of-concepts for manufacturing use cases such as defect detection and quality inspection, predictive maintenance, process optimisation, smart scheduling, robotic automation, energy optimisation, supply-chain analytics and digital-twin simulation.
- Partner with local and overseas R&D centres, universities and technology vendors to accelerate technology transfer, co-development, integration and commercialisation of AI-enabled manufacturing solutions.
- Undertake technology promotion, demonstration and commercialisation activities to create industry awareness, support business pitching and accelerate adoption of Industrial AI, particularly among SMEs and traditional manufacturers.
- Support new product development and smart manufacturing pilots, including Computer Aided Design & Engineering (CAD&E), 3D modelling, prototyping, testing & certification and pilot run, integrating AI into product and process development where applicable.
- Travel to the Mainland and Overseas for business activities and service delivery as required.
- Perform any ad hoc tasks assigned.
You'll be a good fit if you have/are:
- Bachelor’s degree or above in Computer Science, Data Analytics, Deep Learning, Artificial Intelligence, Mechatronics, Industrial/Manufacturing Engineering or a related discipline.
- Relevant experience in applied R&D, product development or manufacturing for New Industrialisation and Smart Manufacturing, with exposure to Industrial AI or AI-enabled manufacturing projects.
- Hands-on experience in technical AI projects, e.g. Machine learning, computer vision, generative AI, robotics, digital twins or predictive analytics, would be an advantage.
- Hands-on experience in new product development, CAD&E, 3D modelling, prototyping, testing & certification, pilot run, etc.
- Solid understanding of manufacturing systems, IoT, automation and Industry 4.0 concepts, with the ability to translate AI concepts into shop-floor applications.
- Strong commitment and a positive, results-oriented attitude; sensitive and fast to adopt emerging technologies; strong business and financial accountability and ownership; excellent interpersonal, time and project management and leadership skills; able to work under pressure and independently; excellent presentation skills.