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Job Description

Description

Alexa Shopping Operations strives to become the most reliable source for dataset generation and annotations. We work in collaboration with Shopping feature teams to enhance customer experience (CX) quality across shopping features, devices, and locales. Our primary focus lies in handling annotations for training, measuring, and improving Artificial Intelligence (AI) and Large Language Models (LLMs), enabling Amazon to deliver a superior shopping experience to customers worldwide. Our mission is to empower Amazon's LLMs through Reinforcement Learning from Human Feedback (RLHF) across various categories at high speed. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging technology alongside our operational excellence. By joining us, you will play a pivotal role in shaping the future of the shopping experience for customers worldwide.

Key job responsibilities

  • Become a subject matter expert on one or more services
  • Provide support activities for these services and regularly work with development teams to establish and improve service support
  • Operate with guidance from management and drive issues to resolution
  • Understand the business logic and architecture of supported services to regularly resolve undocumented trouble tickets
  • Be able to read and understand complex application code and make approved code fixes to resolve support issues
  • Provide mentoring, training, documentation, and tools to other Support Engineers to enable them to perform support activities
  • Regularly contribute to the creation and improvement of all support documentation
  • Perform code builds and deployments communicating status regularly before, during, and after each deployment
  • Create and interpret metrics that measure support success and service performance
  • Help develop and refine operational policies and procedures used by teams and internal customers
  • Participate fully and constructively in the planning of team's work
  • Have the ability to write simple and efficient tools to improve operational efficiency
  • Learn to contribute to design and development of support tools using software engineering best practices
  • Mentor other Support Engineers and are involved with interviewing and onboarding new team members

Basic Qualifications

  • 3+ years of technical support experience
  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
  • Knowledge of about AWS integration and usage

Preferred Qualifications

  • Bachelor's degree in computer science or equivalent

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 for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Company - ADCI MAA 12 SEZ

Job ID: A2944235

About Company

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

You'll also hear us say that at Amazon, it's always "Day 1." What do we mean That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Job ID: 106998603