Senior Delivery Consultant - Ai/ml, Asean Professional Services

Amazon Amazon · Big Tech · Singapore · Solutions Architect

Senior Delivery Consultant for AWS Professional Services focusing on AI/ML solutions for customers in the ASEAN region. The role involves advising customers on ML possibilities, designing and implementing scalable ML solutions on AWS, leading customer engagements from pre-sales to delivery, and conducting workshops to identify business value through machine learning.

What you'd actually do

  1. 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
  2. Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
  3. 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
  4. Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of machine learning
  5. Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes

Skills

Required

  • Experience with training and deploying machine learning systems to solve large-scale optimizations
  • Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent
  • 5+ years of building machine learning models or developing algorithms for business application experience
  • Ability to think strategically about business, solutions and technical challenges
  • A minimum of 3 years working experience in ASEAN region

Nice to have

  • AWS experience preferred
  • proficiency in a wide range of AWS services (e.g., 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
  • Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
  • Ability to obtain Singapore government security clearance

What the JD emphasized

  • training and deploying machine learning systems to solve large-scale optimizations
  • building machine learning models or developing algorithms for business application experience
  • ML on AWS
  • AI/ML workloads

Other signals

  • customer-facing
  • consulting
  • architecture
  • implementation
  • ML on AWS