Manager, ML Data Operation, Quick
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Job Location:
Monthly Salary:
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve in the cloud.
- 2 years of people management experience
- 3 years of managing stakeholders in cross-functional project experience
- Bachelors degree in Math Statistics Computer Science or related science field or Bachelors degree and 1 years of data scientist experience
- Bachelors degree in operations research applied mathematics theoretical computer science or equivalent or experience in a ML or data scientist role with a large technology company
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience with full software development life cycle including coding standards code reviews source control management build processes testing and operations
- Experience with data annotation workflows and quality assurance processes
- Masters degree in a related technical field
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage
- Experience building web based dashboards using common frameworks
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve in the cloud.
- 2 years of people management experience
- 3 years of managing stakeholders in cross-functional project experience
- Bachelors degree in Math Statistics Computer Science or related science field or Bachelors degree and 1 years of data scientist experience
- Bachelors degree in operations research applied mathematics theoretical computer science or equivalent or experience in a ML or data scientist role with a large technology company
- Experience with Machine Learning and Large Language Model fundamentals including architecture training/inference lifecycles and optimization of model execution or experience with full software development life cycle including coding standards code reviews source control management build processes testing and operations
- Experience with data annotation workflows and quality assurance processes
- Masters degree in a related technical field
- Experience working with Data & AI related technologies including but not limited to AI/ML GenAI Analytics Database and/or Storage
- Experience building web based dashboards using common frameworks
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Manager
Key Skills
- Six Sigma
- Lean
- Management Experience
- Process Improvement
- Microsoft Outlook
- Analysis Skills
- Warehouse Management System
- Operations Management
- Kaizen
- Leadership Experience
- Supervising Experience
- Retail Management
About Company
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