Principal Data Scientist, Model Evaluation, GenAI, AWS

2 months ago


Singapur, Singapore Amazon Web Services Singapore Private Limited - D55 Full time
About the Role

We are seeking a highly skilled Data Scientist to join our GenAI team at Amazon Web Services Singapore Private Limited - D55. As a Principal Data Scientist, you will play a key role in helping our customers build and deploy GenAI enabled applications using Amazon Bedrock and SageMaker.

Key Responsibilities
  • Customer Advisor: Implement and deploy state-of-the-art machine learning algorithms under GenAI, building prototypes, PoCs, and exploring new solutions.
  • Thought Leadership: Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, white-papers, reference architectures, and public-speaking events.
  • Partner with SAs, Sales, Business Development, and the AI/ML Service teams to accelerate customer adoption and provide guidance on their customer engagements.
  • Develop and support an AWS internal community of ML-related subject matter experts worldwide, creating field enablement materials for the broader SA population.
Requirements
  • 7+ years of design/implementation/consulting experience of distributed applications.
  • 5+ years of management of technical, customer-facing resources.
  • 5+ years of hands-on experience with AI/ML or related technology domain.
  • 5+ years of hands-on experience with AI/ML model evaluation and evolution or similar.
Preferred Qualifications
  • History of successful technical consulting and/or architecture engagements with large-scale customers or enterprises.
  • Experience migrating or transforming legacy customer solutions to the cloud.
  • Track record of thought leadership and innovation around Model Evaluation.
  • Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers.
About Us

Amazon Web Services Singapore Private Limited - D55 is part of AWS Sales, Marketing, and Global Services (SMGS), responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including public sector. We work backwards from our customer's most complex and business-critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses.



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