Amazon

Manager, ML Data Operation, Quick

Posted On

March 4, 2026

Location

Chennai, Tamil Nadu

Experience Level

Freshers/Experienced

Job Type

Machine Learning Science

Apply By

March 24, 2026

Job Description

Amazon Quick is seeking an experienced ML Data Ops Manager to lead our data operations team supporting machine learning initiatives across the Quick Suite features. This role will manage a team of data associates responsible for data quality, annotation workflows, and operational excellence

Key job responsibilities
Manage and mentor a team of data associates supporting ML model development and evaluation.

Build team capabilities in data annotation, quality assessment, and operational workflows.

Establish performance metrics and conduct regular performance reviews.

Provide regular reporting on data operations status to leadership.

Identify patterns and insights from data quality analysis to drive improvements.

Support MBR preparation with data-driven insights and recommendations.

Design and implement automation opportunities to improve operational efficiency.

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. - 5+ years of working cross functionally with tech and non-tech teams experience
- 5+ years of team management experience
- 5+ years of cross functional project delivery experience
- 5+ years of program or project management experience
- Experience defining program requirements and using data and metrics to determine improvements

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