Total 5 process improvement manager job vacancies in Engineering category in d16 upper east coast bedok eastwood kew drive

JOB DESCRIPTION

• To develop and maintain, as appropriate, departmental rules for guiding performance of staff.
• Share responsibility with DOE/CE for the supervision of outside contractors working in the hotel.
• Supervise the established guidelines and systems to ensure the most efficient operation at the most economical cost.
• Conduct daily rounds of the Hotel back of the house and public areas, checking every outlet for deficiencies and raising maintenance requests accordingly.
• Instruct and assist when necessary the Plant Supervisor in the chemical testing of all water systems and advise on the proper remedial action.
• Through other departments, attitude and appearance, promote a high level of interaction with the other departments and a high degrees of guest satisfaction.
• Supervise the out sources contractor carry out all mechanical and electrical equipment, fire protection, kitchen equipment, etc. maintenance program to meet hotel and club operation need.
• To ensure that all employees are fully familiar with and have a complete understanding of the hotel’s policies relating to fire, safety, hygiene and health and that these policies are strictly adhered to.

JOB REQUIREMENT

• Bachelor degree or diploma in Engineering.
• Minimum 5 years of experience in a 5 star hotel.
• Sound knowledge in Building Services Engineering and Management.
• Good Command in English.

BENEFITS

• Company Transport / Uniform / Duty Meals / Medical & Dental Coverage provided
• Employee Discount Rate for F&B Dine-In and Hotel Room Stay Globally
• Learning & Development Opportunities and Staff Recognition Awards

Are you ready to ignite your career and be part of something truly extraordinary? At ASUS, we’re In Search of Incredible—and we want you on our team! We’re looking for dynamic, passionate individuals who are eager to innovate, create, and make waves in the tech world. If you’re fueled by ambition and thrive in a fast-paced environment where your ideas can shape the future, this is your opportunity to shine.

Join us, and let’s chase the incredible together!

AICS is a division of ASUS, with the mission to transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning (ML), and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs. We have deployed our solutions in over 20 hospitals in Taiwan and plan to expand our services in Singapore and the region.

The Responsibilities:

• Hands-on technical leadership and management of day-to-day activities of the ML engineering team within an Agile/Scrum environment.
• Build and grow a best-in-class engineering team.
• Work closely with the engineers to architect and develop the best ML solutions on the public cloud, including models, pipelines, performance optimization, testing, and deployment.
• Collaborate across engineering and product teams to translate business needs into ML specifications and deliverables.
• Work with an entrepreneurial team of experienced AI researchers and software engineers to successfully ship software products and continue to grow our business.
• Report on the status of development, quality, operations, and system performance to management.
• Management of departmental resources, staffing, and mentoring.

The Requirements:

• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, Electric Engineering.
• 8+ years of building successful machine learning software solutions.
• 3+ years of experience managing ML and software engineers.
• Strong machine learning and deep learning fundamentals.
• Proficiency in developing and deploying ML solutions on Azure or other public cloud providers.
• Understanding of best practices in MLOps and software development processes including coding standards, code reviews, data and model pipelines, source control (Github), and test automation/CICD

The Process Engineer will be based in Changi South reporting to Engineering section Lead.

In charge of process-engineering capabilities focused on cost, quality, and delivery improvements to hold up a manufacturing organization to build state of the art semiconductor equipment's.

Job Responsibilities

• Recognize the manufacturing process, technologies, techniques, and the product.
• Define, implement, and evaluate proposed designs and processes for manufacturability.
• Have the capability to singly or with other engineering stakeholders identify root causes of failures in the manufacturing process.
• High level participation in daily production activities and effective problem solving on daily issues.
• Prepare justification, purchase and implement capital equipment for production.
• Hold up and oversee new process equipment production.
• Hold up the raising and introduction of engineering change orders (ECOs).
• Establish robust, repeatable, and reproducible process parameters.
• Develop, implement, and take ownership of process control methodologies.
• Trouble shoot process related issues.
• Participate in activities pertaining to cycle time and process improvements.
• Evaluate and select various engineered materials.
• Implement statistical process research on new and existing products.
• Implement safety, productivity and give in improvements.
• Improve manufacturing techniques and throughput.
• Provide continuous development of manufacturing techniques that will improve in-house capabilities and gives in.
• Develop and maintain process documentation.
• Review processing methods.
• Interface with production of all activities associated with new process implementation and transfer.
• Assist in the development of training and provide training to production personnel during innovative technology transfer.
• Provide equipment maintenance and repair hold up as required.
• Guide to cost improvement/reduction programs.

Job Requirements

• Typically requires a bachelor's degree in mechanical engineering or manufacturing engineering or relevant field with equivalent experience and training.
• Typically requires 2-3 years of relevant experience.
• Use of the following tools may be required: Electronic Assembly: color code, component, and schematics.
• May require various PCB operations. Testing: oscilloscope, cable and harness testing, trouble shooting, component testing, logic analyzer. Inspection: bare board, systems, components, cable and harness, microscope, measuring tools. Mechanical & Electrical Tools: taps and dies, alignment tools, measuring tools.
• Those will Electrical & Electronics degree with process / manufacturing experience are welcome to apply.

Job Description

• 5 years relevant working experience in Water Treatment industries is preferable.

• Experienced in the design of water treatment plants (desalination, potable water, demineralization) and membranes systems (MBR, MF/UF, Reverse Osmosis, Nano-Filtration, etc.), experience in Demineralization System will be added advantage.

• Strong technical knowledge (i.e Process Design and Calculation) in Membrane (MF/UF/RO/EDI), Ion Exchange, and pretreatment processes (coagulation / flocculation, sedimentation, clarification, filtration)

• Review Client’s Requirement, Technical Specifications & Tender Specifications to generate engineering deliverables (General Specification & Particular Specifications, Datasheets, Major Equipment List, Pipe List, Mass Balance, Hydraulic Profiles, Process Flow Diagram, Process & Instrumentation Diagram, etc.)

• Assist the Engineering Manager & Lead Engineer, Process on engagement with Clients, Consultants, Sub-Contractors, Vendors, and others for the development of design, procurement, fabrication, construction, erection and commissioning works.

• Coordinate with inter-disciplines engineering team (Process, Mechanical, Electrical, Instrumentation & Control Automation, C&S and Drafting) on development of engineering deliverable on a timely basis.

• Procurement Services Support: Develop the applicable Equipment List/Package, Technical Specifications and Bill of Materials to support Procurement Department to issue Request for Quotation (RFQ). Assist to review the RFQ, prepare applicable technical & commercial clarifications with selected Sub-Contractors or Suppliers. Provide justification on the shortlisted Sub-Contractors or Suppliers for onward negotiations.

Requirement:

• Degree in Chemical Engineering or Environmental.

• Prior experience of at least 5 years in process design. Experience in UltraPure Water (UPW) will be added advantage.

• Ability to establish and maintain appropriate relationships with team members.

• Able to work independently with minimal supervision

Are you ready to ignite your career and be part of something truly extraordinary? At ASUS, we’re In Search of Incredible—and we want you on our team! We’re looking for dynamic, passionate individuals who are eager to innovate, create, and make waves in the tech world. If you’re fueled by ambition and thrive in a fast-paced environment where your ideas can shape the future, this is your opportunity to shine.

Join us, and let’s chase the incredible together!

AICS is a division of ASUS, with the mission to transform healthcare through AI & SaaS. Utilizing deep technologies in Natural Language Processing, Computer Vision, Machine Learning (ML), and Data Analytics, we build and deploy secured solutions that improve the quality of care, increase accessibility, and reduce costs. We have deployed our solutions in over 20 hospitals in Taiwan and plan to expand our services in Singapore and the region.

The Responsibilities:

• Hands-on technical leadership and management of day-to-day activities of the ML engineering team within an Agile/Scrum environment.
• Build and grow a best-in-class engineering team.
• Work closely with the engineers to architect and develop the best ML solutions on the public cloud, including models, pipelines, performance optimization, testing, and deployment.
• Collaborate across engineering and product teams to translate business needs into ML specifications and deliverables.
• Work with an entrepreneurial team of experienced AI researchers and software engineers to successfully ship software products and continue to grow our business.
• Report on the status of development, quality, operations, and system performance to management.
• Management of departmental resources, staffing, and mentoring.

The Requirements:

• Bachelor’s and/or Master’s degree in Computer Science, Computer Engineering, Electric Engineering.
• 8+ years of building successful machine learning software solutions.
• 3+ years of experience managing ML and software engineers.
• Strong machine learning and deep learning fundamentals.
• Proficiency in developing and deploying ML solutions on Azure or other public cloud providers.
• Understanding of best practices in MLOps and software development processes including coding standards, code reviews, data and model pipelines, source control (Github), and test automation/CICD