Deep Learning Architect, Generative AI Innovation Center

4 days ago

Singapur, Singapore Amazon Web Services (AWS) Full time

Overview

Deep Learning Architect, Generative AI Innovation Center at Amazon Web Services (AWS). The GenAI Innovation Center helps AWS customers implement Generative AI solutions and realize transformational business opportunities. The team of strategists, scientists, engineers, and architects works with customers to build bespoke solutions that harness the power of generative AI, imagine and scope high-value use cases, navigate challenges, develop proofs-of-concept, and plan for scalable deployment. The GenAI Innovation Center also provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will design and run experiments, research new algorithms, and explore ways to optimize risk, profitability, and customer experience. We seek top architects, system and software engineers capable of using ML, Generative AI, and related techniques to design, evangelize, implement, and fine-tune state-of-the-art solutions for complex problems.

Responsibilities
  • Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions addressing real-world challenges
  • Interact with customers directly to understand business problems, assist in implementing generative AI solutions, and guide adoption patterns and paths to production
  • Create and deliver best-practice recommendations, tutorials, blog posts, sample code, and presentations for technical, business, and executive stakeholders
  • Provide customer and market feedback to product and engineering teams to help define product direction
Basic Qualifications
  • Bachelor of Science in Computer Science or related technical field (or equivalent experience); 3+ years of experience designing, building, and/or operating cloud solutions in a production environment
  • 2+ years hosting and deploying ML solutions (training, fine-tuning, and inference)
  • 2+ years of hands-on experience with Python to build, train, and evaluate models
  • 2+ years of technical client engagement experience
Preferred Qualifications
  • Masters or PhD in computer science or related technical field
  • Strong working knowledge of deep learning, machine learning, generative AI, and statistics
  • Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker
  • Experience communicating across technical and non-technical audiences, including executive-level stakeholders
  • Experience building cloud solutions with AWS

We’re committed to an inclusive culture. If you have a disability and need workplace accommodation or adjustments during the application and hiring process, including support for the interview or onboarding, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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