Senior AI/ML Consultant, ASEAN Professional Services
Senior AI/ML Consultant, ASEAN Professional Services

Senior AI/ML Consultant, ASEAN Professional Services

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead AI/ML projects, advise customers, and implement scalable solutions on AWS.
  • Company: Join Amazon Web Services, the leading cloud platform trusted by top companies worldwide.
  • Benefits: Enjoy flexible work-life balance, mentorship opportunities, and a culture of inclusion.
  • Why this job: Be part of innovative projects that drive real business value through machine learning.
  • Qualifications: 10+ years in ML solutions with a STEM degree; experience in ASEAN region preferred.
  • Other info: Diverse experiences are valued; apply even if you don't meet all qualifications.

The predicted salary is between 43200 - 72000 £ per year.

Senior AI/ML Consultant, ASEAN Professional Services

Job ID: 2826270 | Amazon Web Services Singapore Private Limited

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
– Advanced level command of English language, reading, writing and speaking.
– 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)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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Senior AI/ML Consultant, ASEAN Professional Services employer: Amazon

Amazon Web Services (AWS) is an exceptional employer, offering a dynamic work environment that prioritises work-life balance and inclusivity. As a Senior AI/ML Consultant in Singapore, you'll benefit from a culture of continuous learning and mentorship, with ample opportunities for professional growth while working on innovative projects that drive real business value for customers across diverse industries.
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Contact Detail:

Amazon Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior AI/ML Consultant, ASEAN Professional Services

✨Tip Number 1

Familiarise yourself with AWS's AI/ML services and tools. Understanding the specific technologies and solutions offered by AWS will not only help you in interviews but also demonstrate your genuine interest in the role.

✨Tip Number 2

Network with current or former AWS employees, especially those in similar roles. They can provide insights into the company culture and expectations, which can be invaluable during your discussions with the hiring team.

✨Tip Number 3

Prepare to discuss real-world examples of your previous AI/ML projects. Be ready to explain your thought process, the challenges you faced, and how you delivered value to your clients, as this will showcase your practical experience.

✨Tip Number 4

Stay updated on the latest trends in AI/ML and cloud computing. Being knowledgeable about recent advancements and industry shifts will allow you to engage in meaningful conversations with interviewers and demonstrate your passion for the field.

We think you need these skills to ace Senior AI/ML Consultant, ASEAN Professional Services

Machine Learning Solutions Design
Cloud Architecture Best Practices
Customer Engagement Management
Technical Leadership
Workshop Facilitation
Business Value Delivery
Strategic Thinking
Industry-Specific Knowledge (FSI, Telco, Retail)
Pre-Sales and Delivery Experience
AI/ML Technology Stack Knowledge (AWS)
Generative AI Trends Understanding
Stakeholder Management
Communication Skills in English
Adaptability to Diverse Environments
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in AI/ML solutions design and implementation. Focus on relevant projects, especially those involving AWS technologies, and quantify your achievements where possible.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI/ML and how your background aligns with the role. Mention specific experiences that demonstrate your ability to advise customers and lead complex projects.

Showcase Relevant Skills: Clearly outline your technical skills related to machine learning and cloud computing. Include any AWS certifications or relevant training that can set you apart from other candidates.

Prepare for Interviews: Anticipate questions about your experience with customer engagement and project management. Be ready to discuss specific examples of how you've delivered business value through ML solutions in previous roles.

How to prepare for a job interview at Amazon

✨Showcase Your Technical Expertise

Be prepared to discuss your experience with machine learning solutions, particularly in the context of AWS. Highlight specific projects where you've implemented ML architectures and how they delivered business value.

✨Understand the Business Context

Demonstrate your ability to connect technical solutions with business outcomes. Be ready to discuss how you've advised clients in sectors like Financial Services, Telecom, or Retail on leveraging ML for operational improvements.

✨Prepare for Customer Engagement Scenarios

Expect to role-play or discuss scenarios involving customer workshops and stakeholder management. Think about how you would lead a workshop to identify ML opportunities and how you would manage expectations throughout a project.

✨Emphasise Your Collaborative Skills

AWS values teamwork, so be sure to share examples of how you've collaborated with cross-functional teams. Discuss how you’ve worked with product, service, and training teams to deliver comprehensive solutions.

Senior AI/ML Consultant, ASEAN Professional Services
Amazon
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  • Senior AI/ML Consultant, ASEAN Professional Services

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-08-07

  • A

    Amazon

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