Digital Associate - Machine Learning Data Operations

Amazon India Limited; Chennai; On-site; INR 480,000 - 720,000; Full time

Job summary

Amazon Web Services (AWS) seeks a Digital Associate I for MLDOps to support data ground truth collection and product development. You will execute defined tasks, report results, and follow guidelines for new releases, ensuring quality in repetitive tasks and daily data capture using internal tools.

The role involves communicating findings, escalating failures with SLA-compliant resolutions, and owning daily targets amid internal and external dependencies.

Qualifications

• Bachelor's degree or higher in a relevant field.
• Knowledge of QA methodology and tools, with demonstrated experience in a QA/QA Engineer role.
• Master's degree or PhD in a quantitative field such as statistics, mathematics, data science, economics, finance, engineering, or CS.

Responsibilities

• Perform execution and report results accurately.
• Understand procedures and guidelines for new tasks/releases.
• Perform repetitive exercises based on dynamic instructions without compromising quality.
• Use software tools for data capture and comply with organizational processes daily.
• Capture results, communicate and escalate failures, and provide individual status reports adhering to productivity/quality baselines.
• Raise all failures/doubts related to the execution in the portal and close as per SLAs.
• Own daily targets against internal and external dependencies.

Skills

QA methodologies

Data reporting

Issue tracking

Communication

Education

Bachelor's degree

Master's degree or PhD in quantitative field

Tools

MS Word

MS Excel

MS Outlook

Data capture tools

Portal usage

Job description

Digital Associate I, MLDOps Work on defined set of instructions to collect ground truth data for the product development.

• 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

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 check ingestion of task and unblock Operations team. Address Tickets raised by ops team. Built new tools and make modification to existing tooling UI.

About the team

Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

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, it's 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

• 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
• Speak, write, and read fluently in Hindi
• Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays

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. Experience Level Mid Level