Machine Learning Engineer, Generative AI Innovation Center

3 weeks ago

Singapur, Singapore Amazon Web Services (AWS) Full time

Overview

Machine Learning Engineer, Generative AI Innovation Center at Amazon Web Services (AWS). Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI. Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GenAIIC to explore developing generative solutions. GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies deployed on devices and in the cloud.

Responsibilities
  • Solve complex technical problems, often ones not solved before, at every layer of the stack.
  • Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.
  • Build high-quality, highly available, always-on products.
  • Research implementations that deliver the best possible experiences for customers.
A day in the life
  • As you design and code solutions to help our team drive efficiencies in ML architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects.
  • Build high-impact ML solutions to deliver to our large customer base.
  • Participate in design discussions, code reviews, and communicate with internal and external stakeholders.
  • Work cross-functionally to help drive business solutions with your technical input.
  • Work in a startup-like development environment, where you’re always working on the most important stuff.
Qualifications Basic Qualifications
  • 8+ years of non-internship professional software development experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience building complex software systems that have been successfully delivered to customers
  • Experience as a mentor, tech lead or leading an engineering team
  • 5+ years experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) with exposure to machine learning/statistical modeling data analysis tools and techniques
Preferred Qualifications
  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor’s degree in computer science or equivalent
Team & Culture

Our inclusive culture empowers Amazonians to deliver the best results for our customers. AWS values diverse experiences and encourages candidates to apply even if you do not meet all listed qualifications. 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 the accommodations page for more information.

Company: Amazon Web Services Singapore Private Limited | Job ID: A

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