Digital Associate - Machine Learning Operations

Amazon India Limited; Chennai; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Amazon Web Services (AWS) in Chennai seeks a mid-level QA Analyst to execute tasks, report results, and adhere to quality standards in a fast-moving environment. You will follow SOPs, capture data, escalate issues, and maintain timely status updates to support reliable cloud service delivery.

The role requires strong English communication, a relevant degree, and knowledge of QA methodologies. AWS emphasizes inclusive culture, mentorship, and work-life balance, including flexible scheduling where

Qualifications

• Fluent in English (speaking, writing, reading).
• Bachelor's degree, or Bachelor of Arts degree.
• Knowledge of QA methodology and tools, with demonstrated experience in a QAE role.
• Master's degree or equivalent in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD.
• Knowledge of basic computer business applications such as MS Word, MS Excel and MS Outlook.
• Experience managing complex and fast-moving issues.

Responsibilities

• Perform execution and report results accurately.
• Understand procedures and guidelines for new tasks / releases
• Perform repetitive exercises based on the dynamic instructions without compromising on quality
• Use software tools for data capture and comply with the processes of the organization on a daily basis
• Be comfortable with capturing results, communicating and escalating failures and providing individual status reports and adhering to Productivity and Quality base lines.
• Raising all failures/doubts related to the execution in the portal and closing the same as per the SLA's
• Own the daily targets against internal and external dependencies.

Skills

English fluency

QA methodology

MS Office

Education

Bachelor's degree

Master's degree or PhD

Tools

Microsoft Word

Microsoft Excel

Microsoft Outlook

Job description

Key job responsibilities

• Perform execution and report results accurately.
• Understand procedures and guidelines for new tasks / releases
• Perform repetitive exercises based on the dynamic instructions without compromising on quality
• Use software tools for data capture and comply with the processes of the organization on a daily basis
• Be comfortable with capturing results, communicating and escalating failures and providing individual status reports and adhering to Productivity and Quality base lines.
• Raising all failures/doubts related to the execution in the portal and closing the same as per the SLA's
• Own the daily targets against internal and external dependencies

A day in the life

A day in the life will be to annotation and audit task based on SOP

About the team

Diverse Experiences AWS values diverse experiences.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic Qualifications

• Speak, write, and read fluently in English
• Bachelor's degree, or Bachelor of Arts degree
• Knowledge of QA methodology and tools, with demonstrated experience in an QAE role
• Master's degree or equivalent in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD
• Knowledge of basic computer business applications such as MS Word, MS Excel and MS Outlook
• Experience managing complex and fast-moving issues

Preferred Qualifications

• Knowledge of Microsoft Office products and applications
• Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
• Bachelor's degree

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.

Experience Level Mid Level