Machine Learning Data Ops, Manager I, MLD Ops, GO-AI
Amazon - Bengaluru, Karnataka, IND
Posted May 20, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Machine Learning Data Ops, Manager I, MLD Ops, GO-AI Bengaluru, Karnataka, IND Want to join the Earth's most customer centric company? Are you someone who like to design the right workforce strategy to meet long-term process targets? Do you like to develop the talent to create a high performing team? If yes, we have opportunities for you. Global Operations - AI (GO-AI) at Amazon is looking to hire candidates who can excel in a fast-paced dynamic environment. Manager I / Front line manager is accountable for the overall direction and operations of our site a team of 20-25 employees, creating a culture of customer obsession, high performance and high-quality throughput. Key job responsibilities • Should be a Graduate or equivalent • Minimum 4 years of experience out of which 18 Months should be as team leader / team manager • Proven leadership abilities with a track record of successfully managing and motivating teams. • Excellent / V Good 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 • Should be able to lead by examples • Hands on experience on MS-Office, preferably on MS-Excel and Power Point • Ability to prioritize tasks, manage multiple responsibilities and ensure deadlines are met without compromising on quality • Basic data handling and Data interpretation skills • Should be comfortable with 24x7 rotational shifts • Ability to pull data from numerous databases (using
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