Manager I, Machine Learning Data Ops
Amazon
- Location
- IN, KA, Bangalore - Virtual
- Employment
- Full Time
- Work model
- On-Site
- Level
- Mid
- Posted
- Sep 16, 2026
Skills
About this role
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 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. A day in the life • Lead, motivate, and manage a team of 20–25 associates engaged in ML data annotation operations from virtual or work-from-office spaces; scale and transition across 2–3 programs based on business needs • 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 to enhance data generation productivity • 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 to execute bar-raising initiatives About the team Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers. Come build the future of human-technology interaction with us. We are combining computer vision, mobile robots, advanced end-of-arm tooling, and a high degree of freedom of movement to solve real-world problems on a huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype, and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support.