Total 5 quality assurance manager job vacancies in Engineering category in Changi, South East

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

You will be involved in leading the planning and implementation of the Automated People Mover (APM) systems for Changi Airport's Terminal 5, set to be one of the world's largest airport terminals when completed.

Job Description:

• Oversee the comprehensive planning, design, procurement, and implementation of APM systems.
• Manage and coordinate with internal teams, external stakeholders, consultants, and contractors to ensure timely and successful project delivery.
• Explore and incorporate the latest innovations and technologies to achieve a world-class APM system for Terminal 5.
• Ensure compliance with all relevant standards and regulations throughout the project lifecycle.
• Monitor project progress, identify risks, and implement mitigation strategies as necessary.

Requirements:

• Bachelor’s degree in electrical/computer/system engineering or a related field.
• Strong analytical skills and innovative thinking.
• Excellent verbal and written communication skills.
• Proven ability to manage multiple tasks in a fast-paced environment.
• 3 to 5 years of relevant experience in APM or rail transportation systems is preferred.
• Experience with signaling systems is a plus.
• Highly motivated, detail-oriented, and capable of working independently and as part of a team.
• This position is a 3-year contract with the possibility of renewal.

We regret that only shortlisted candidates will be notified. By submitting an application or your resume to us, you are consenting to the collection, use and disclosure of the submitted personally identifiable data. We collect and use personal data (including name, address, telephone number and email address) submitted by you for a variety of reasons, including for evaluating job applications, processing information requests, and internal record-keeping of our communications with you. Further information on our Personal Data Policy can be found at www.cai.sg.

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

Key Responsibilities

Leads the Industrial Engineering Team. Oversees methods and analysis including process design, time and motion study, and leads continual improvement initiatives.

Ensures projects and programs within areas of responsibility are completed and implementation into business with quality tools, supporting processes and ongoing measures for success. Includes improved efficiency and cost savings. Works across organizations to provide business case for Plan of Record and IE projects. Ensures cost analysis, and return on investment calculations associated with project meet annual operation plan and budget.

Leads ergonomics / human factors initiatives, drives process improvements, and provides engineering solutions. Drives and implements Ergonomic improvements across multiple functions.

Ensures manufacturing rearrangement projects, plant layouts, material flow and warehousing designs are optimized for cost, capability and capacity. Leads manufacturing and warehouse rearrangement projects across multiple functions; coordinates the efforts of other IE's to achieve plan of record objectives.

Drives the strategic implementation of product introductions into volume manufacturing by developing factory space, capacity and capability solutions. Develops the New products factory capability roadmap for assigned work centers.

Drives the development of specialized tooling solutions for the assembly, integration and intra-plant transport of modules, assemblies and mainframes.

Serves as a role model and sets the example, whose behavior is emulated by other engineering team members. (Safe behavior, follow proper protocols and procedures, including core values).

Drives capacity/demand analysis business processes and ensures that capacity planning processes are deployed and maintained across multiple functions. Oversees solutions to address capacity constraints and works with Operations and Logistics organizations to implement these solutions prior to production ramp. Drives manufacturing and logistics initiatives to improve factory asset utilization and production processes.

Leads and drives the effort to establish and document business processes across multiple functions.

Functional Knowledge

• Demonstrates in-depth understanding of concepts, theories and principles in own job family and basic knowledge of other related job families

Business Expertise

• Applies understanding of the industry and how own area contributes to the achievement of objectives

Leadership

• Manages a generally homogeneous team; adapts plans and priorities to meet service and/or operational challenges

Problem Solving

• Identifies and resolves technical, operational and organizational problems

Impact

• Impacts the level of service and the team’s ability to meet quality, volume, and timeliness objectives
• Guided by policies and resource requirements within business unit, department or sub-function

Interpersonal Skills

• Guides, influences and persuades others internally in related areas or externally

Position requires understanding of Applied Materials global Standards of Business Conduct and compliance with these standards at all times. This includes demonstrating the highest level of ethical conduct reflecting Applied Materials' core values.