Manager I, Machine Learning Data Ops
Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Data engineering
I korthet
Amazon is seeking a Manager I for Machine Learning Data Operations in Hyderabad to lead a team of 20-25 employees, focusing on customer obsession, high performance, and quality throughput in ML data annotation. This role requires strong leadership, analytical skills, and experience in managing operational processes, with a hybrid work model.
Ansvarsområden
- 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).
- 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.
- 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.
Krav
- 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.
- 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.
- 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.
Önskade kvalifikationer
- 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.
- 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.
- Ability to pull data from numerous databases (using Excel and other data management systems) and perform ad hoc reporting and analysis is a plus.
Förmåner
- Opportunities to design workforce strategy and develop talent.
- Work in a fast-paced dynamic environment.
- Scale and transition across 2–3 programs based on business needs.
- Work with state-of-the-art robotics for Amazon’s Fulfillment Centers.
- Collaborate with a variety of customers across Amazon worldwide.
- Contribute to human-in-the-loop support for machine learning transformation.
#Corporate Operations#AI#Machine Learning#Data Operations#Leadership