Manager I, Machine Learning Data Ops
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Engineering · Data Analysis
In short
Amazon's Global Operations - AI team seeks a Manager I for Machine Learning Data Operations in Bangalore. This role involves leading a team of 20-25 associates, ensuring operational excellence in ML data annotation, and driving continuous improvement. The ideal candidate has at least 4 years of experience, including 18 months in a team leadership role, and strong communication and data handling skills.
Responsibilities
- Lead, motivate, and manage a team of 20–25 associates engaged in ML data annotation operations.
- Ensure process deliverables per SLA and deliver on operational & qualitative KPIs (APL, SPL, Quality scores).
- Conduct regular 1:1s and team performance reviews.
- Generate reports on team performance and SOPs, and provide actionable insights to Senior Leadership.
- Drive continuous improvement by contributing to the development of audit methodologies, checklists, and test frameworks.
- Translate organizational vision into actionable goals.
- Promote a culture of continuous learning and build career development roadmaps for associates.
- Communicate effectively with internal stakeholders (ACES, Training, Quality) and collaborate with remote, multi-cultural teams.
Requirements
- Graduate or equivalent.
- Minimum 4 years of experience, with at least 18 months as a team leader/manager.
- Proven leadership abilities with a track record of successfully managing and motivating teams.
- Excellent verbal and written communication skills in English.
- Very good Presentation, Feedback & Coaching skills.
- Ability to observe, analyze and identify process improvement opportunities.
- Highly energetic & enthusiastic.
- Ability to lead by example.
- Hands-on experience on MS-Office, preferably on MS-Excel and PowerPoint.
- Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality.
- Basic data handling and Data interpretation skills.
- Comfortable with 24x7 rotational shifts.
- Knowledge of Microsoft Office products and applications, especially MS Excel & Word at an advanced level.
- Ability to work a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
Desired Qualifications
- Ability to pull data from numerous databases (using Excel and other data management systems) and to perform ad hoc reporting and analysis, as needed, is a plus.
- Communicating with Internal customers (ACES, Training, Quality etc.) – Drive and execute bar-raising initiatives aimed at hiring and developing top talent and build career development road-map for the associates.
- Experience in managing critical operational processes with SLA responsibility in an ML/AI data operations environment.
- Knowledge of databases (SQL, MySQL) and Advanced Excel; experience working with and analyzing large datasets to drive business improvements.
- Familiarity with ML data annotation workflows, labeling tools, or AI/ML program operations.
- Knowledge of Lean Six Sigma tools or Green Belt certification.
- Experience working in geographically distributed, multi-cultural team environments.
- Ability to perform ad hoc reporting, pull data from multiple systems, and translate insights into operational decisions.
Benefits
- Opportunities to join the Earth’s most customer-centric company.
- Opportunities to excel in a fast-paced dynamic environment.
- Opportunities to design the right workforce strategy to meet long-term process targets.
- Opportunities to develop talent to create a high performing team.
- Opportunities to build the future of human-technology interaction with Amazon Robotics.
#Operations#Management#Machine Learning#Data Operations#AI
Company
Amazon
Job Posted
3 days ago
Employment Type
Full Time
WorkMode
Remote
Experience Level
Mid-Senior
Locations
Bangalore, India
Qualification
Undergraduate
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