Delivery Consultant, AI/ML at Amazon SZ South 3 GmbH

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Cloud Computing, AWS, Architecture Design, Customer Engagement, Technical Leadership, Data Science, Automation, Scripting, Security Standards, Communication Skills, Stakeholder Management, Workshop Facilitation, Business Value Delivery, Industry Knowledge, Pre-sales Activities

Industry

Software Development

Description

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 AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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: - 5+ year of experience with direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ year 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. - Bachelors degree in Computer Science Preferred Qualifications: - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., SageMaker, AmazonQ, Amazon Nova, EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation) - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences - Data Science , AWS Cloud Certifications 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 https://amazon.jobs/content/en/how-we-hire/accommodations [https://amazon.jobs/content/en/how-we-hire/accommodations] for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Responsibilities

The role involves advising customers on enhancing their business outcomes through machine learning on AWS, leading projects, and conducting workshops. The consultant will provide technical leadership to ensure alignment on project scope and deliverables.