Manager I, Machine Learning Data Ops

Amazon; India; Remote; INR 1,200,000 - 1,800,000; Full time

Job summary

Amazon Robotics in India seeks a Manager I for Global Operations - AI to lead a 20-25 person ML data annotation team. You will drive performance, quality, and KPI delivery, mentor associates, and partner with internal stakeholders to scale programs. Flexible, data-driven leadership is essential.

Responsibilities include SLA delivery, reporting, and continuous improvement; this role requires 4+ years in leadership, strong English communication, and hands-on MS Office experience. 24x7 shifts apply.

Qualifications

• Graduate or equivalent; 4+ years of experience with 18 months in a leadership role.
• Excellent verbal and written communication in English.
• Flexible schedule including weekends and night shifts; proficient MS Office usage.

Responsibilities

• Lead a 20-25 associates ML data annotation team; drive performance and quality against KPIs.
• Manage data reporting, insights, and ad hoc analyses; collaborate with internal customers.
• Develop career roadmaps, provide coaching, and scale programs across multiple projects.

Skills

People leadership

English fluency

MS Excel

PowerPoint

Data analysis

Shift operations

MS Office

Cross-cultural teamwork

Education

Graduate degree

Tools

SQL/MySQL

MS Excel

MS PowerPoint

Job description

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.

Basic Qualifications

• Should be a Graduate or equivalent

• Minimum 4 years of experience out of which 18 Months should be as team leader / team manager

• Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays- Knowledge of - Microsoft Office products and applications, especially MS Excel & Word at an advanced level

Preferred Qualifications

• 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

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.