Total 128 web editor job vacancies in Singapore

The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for a senior experienced and motivated business-oriented AI/ML practitioner who possess a unique balance of business knowledge and Technology depth in Machine Learning with deliver implementation experience in the cloud.
AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries.
This role will focus on advising customers looking to enhance their business or operational outcomes through the use of ML on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex AI/ML workloads with our customers and partners.

Key job responsibilities
• Advise customer’s technologists and business leads; help them to explore the art of the possible with machine learning, and to develop scalable ML solutions on AWS to deliver business value in the most effective way
• Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
• Drive large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to closure and into deliver
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of machine learning
• Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

• Bachelor's Degree or equivalent experience in STEM.
• 10+ years of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation
• 10+ years of experience in the industry as a ML practitioner
• Ability to think strategically about business, solutions and technical challenges.
• A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

Preferred qualifications

• 5+ years Technical experience preferred, knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti-patterns
• Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
• AWS Experience and Certifications, including implementation of cloud-based AI/ML solutions.
• Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
• Advanced degree desired (e.g., MBA, MS)

The Data Center Infrastructure Operations Team forms the backbone of AWS, supporting the rapidly growing business and its customers 24/7. We are dedicated to maintaining AWS’s physical infrastructure while upholding the highest operational standards in safety, security, availability, productivity, capacity, efficiency, and cost-effectiveness.

As a team member, you’ll collaborate with a diverse group of professionals, including software, hardware, and network engineers; supply chain specialists; security experts; operations managers; and other critical roles. Together, you’ll work across AWS to deliver the highest standards of safety and security while ensuring seemingly infinite capacity at the lowest possible cost for our customers.

In this role, you will be part of a team responsible for the operation and maintenance of state-of-the-art critical infrastructure facilities based in Singapore. You will collaborate with a world-class technical team, working alongside some of the brightest and most talented engineers in the data center industry. This position offers the opportunity to work with highly experienced professionals while developing your skills and advancing your career within one of the most innovative and progressive technology companies in the world.

Your responsibilities will include performing preventive maintenance on various facility equipment (such as electrical and mechanical, control, and fire-fighting systems), managing change processes, creating procedures, and overseeing vendor operations.

Key job responsibilities
• You will plan and perform preventive and corrective maintenance of mechanical and electrical equipment’s, including but not limited to, chiller, air handling unit (AHU/CRAHU),fan coil unit (FCU), ventilation fan, split air conditioner (AC), pumps, leak detection systems, roller shutters, power distribution boards, UPS (Uninterruptible Power Supply)batteries, and generators.
• Develop site specific documents including Maintenance checklist, EOP, SOP and RA.
• Service report preparation and submission for preventive and breakdown maintenance works.
• Ensure safe keeping of hand tools and maintain good housekeeping.
• Ensure all works are carried out safely and/or in accordance with established standards, procedures & local legislation.
• Any other tasks, when required by the immediate manager.

Basic Requirement

• Technical College Degree, Qualified Technical Diploma, or NITEC Certification.

• Proficient in both verbal and written technical communication and enthusiastic about the maintenance of data centers or critical facility environments.

• Strong communication and organizational skills and capable of managing priorities effectively in a complex and fast-paced environment.

The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for an experienced and motivated business-oriented Data practitioner who possess a unique balance of business knowledge and Technology depth in Data and Analytics with hands on keyboard delivery implementation experience in the cloud. AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries. This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities

-Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way. -Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail. -Drive and deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out. -Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS. -Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes.

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- Bachelor's Degree or equivalent experience in STEM.

- 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).

- Ability to think strategically about business, solutions and technical challenges.

- A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

Preferred qualifications

- 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI - Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.

- AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.

- Ability to understand and educate customers on cloud computing technologies and workload transition challenges.

- Advanced degree desired (e.g., MBA, MS)