Total 4 distribution manager job vacancies in Engineering category in singapore south east

• Product Design & Development:

1. Lead the design and development of high performance power Inductor to meet market needs of digital evolution and electrification of vehicles, creating new economy opportunities and enhancing local engineering knowledge base.
2. In addition to high-performance product structure design, strengthen and develop technical skills of the team, including expertise in core magnetic material technology.
3. Utilize CAD software to create detailed design schematics, prototypes, and models.
4. Apply engineering principles to ensure robust, manufacturable, and cost-effective product designs.
5. Work collaboratively with cross-functional teams to finalize designs for production.

• Customer Engagement & Application Engineering:

1. Visit customers to understand their unique challenges, requirements, and applications.
2. Provide application engineering support by offering technical expertise, recommendations, and product solutions tailored to customer needs.
3. Deliver technical presentations and product demonstrations to customers, ensuring a clear understanding of design features and performance.
4. Act as a liaison between customers and the internal engineering teams, translating customer feedback into actionable design improvements.

• Product Testing & Validation:

1. Define and execute testing protocols to validate designs against customer requirements and industry standards.
2. Analyze test results, identify potential issues, and implement design modifications to improve performance, safety, and reliability.
3. Ensure that products meet regulatory compliance standards.

• Continuous Improvement:

1. Lead continuous improvement efforts to optimize product performance, reduce production costs, and enhance the overall product lifecycle.
2. Mentor and provide technical leadership to junior engineers, fostering a collaborative and innovative engineering culture.

• Process Design & Optimization:

1. Work with the manufacturing team to improve and refine processes for efficiency, quality, and cost control.
2. Ensure seamless transition from design to production by creating comprehensive documentation and detailed process instructions.
3. Identify opportunities for process improvements, automation, and quality enhancements across the product lifecycle.

Job Requirement

• Relevant degree in Electrical Engineering, Mechanical Engineering, or a related field.
• 8+ years of relevant experience in product design in manufacturing field.
• Advanced proficiency in CAD software (e.g., AutoCAD, SolidWorks, or similar) and simulation tools.
• Familiarity with simulation software for magnetic and electrical design analysis.
• Strong problem-solving skills and attention to detail.
• Strong teamwork and collaboration skills.
• Willing to travel to Indonesia, as and when necessary.

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

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