[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Amazon jobs](https://jobs.opennash.com/companies/amazon/) · [Search jobs](/search/) Amazon · IN, TS, Hyderabad - Virtual # Manager I, Machine Learning Data Ops IN, TS, Hyderabad - Virtual Manager or lead Data & Analytics Listed on Amazon’s official careers site. Posted September 16, 2026. Check that it is still open and apply there. [Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10544202/manager-i-machine-learning-data-ops) [OpenNash Jobs](https://jobs.opennash.com/) / [Amazon](https://jobs.opennash.com/companies/amazon/) / Manager I, Machine Learning Data Ops ## Job description 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. ## At a glance - Posted by the employer: Sep 16, 2026 - First seen by OpenNash: Oct 11, 2026 - Last checked: Oct 11, 2026 - Listed for: 25 days - Location: IN, TS, Hyderabad - Virtual[Apply on Amazon’s careers site →](https://www.amazon.jobs/en/jobs/10544202/manager-i-machine-learning-data-ops) ## More jobs at Amazon ### [Associate, ML Data Operations, GO-AI Operations](https://jobs.opennash.com/companies/amazon/jobs/119caa6eaffafb0d9933/) IN, TS, Hyderabad - Virtual ### [CTK Svc Associate (S)](https://jobs.opennash.com/companies/amazon/jobs/d5f196723047f843861a/) IN, TS, Hyderabad - Virtual ## Similar jobs at other companies ### [AIML - Machine Learning Engineer, Data & Machine Learning Innovation](https://jobs.opennash.com/companies/apple/jobs/69d89b848e8922d2e41f/) Apple · Shanghai, China ### [Machine Learning Engineer](https://jobs.opennash.com/companies/accenture/jobs/ef14ea91e804ba52f5de/) Accenture ### [Quantitative / Machine Learning Engineer](https://jobs.opennash.com/companies/totalenergies/jobs/259a76019d5c03765816/) TotalEnergies ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/siemens/jobs/d151b9ceb25367914ae6/) Siemens ### [Machine Learning Architect – Automotive](https://jobs.opennash.com/companies/accenture/jobs/43b54fbcf1b1e3e8f5ca/) Accenture OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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