📍
Hyderabad, India

ML Data Associate, Amazon Business Machine Learnings Data Operations

No experience
Technology & Digital
Software engineering
Posted:
December 29, 2025

Amazon

Consumer goods marketplace and technology platform
76.7
Palpable Score
Apply >view company >

Description


Key job responsibilities
This role would need you to 1) Handle the day-to-day assigned tasks and ensure they meet quality standards 2) Maintain records of day-to-day work by updating trackers to reflect work done 3) Use tools to create and manage classification 4) Actively troubleshoot and respond to issues that are caused by incorrect classification

Basic Qualifications

- Should possess strong interpersonal skills and be willing to work in a dynamic work environment

Preferred Qualifications

- Exposure to high paced operational environments which are productivity and quality driven.

About the company

Amazon

Company overview
Amazon runs a wide set of consumer and enterprise businesses, including online retail, Prime Video and other subscription services, advertising, devices, and Amazon Web Services (AWS). Amazon also builds large-scale software and infrastructure for logistics, payments, and cloud computing, and hires across engineering, product, operations, corporate functions, and frontline roles. Amazon’s early-career hiring spans both office-based teams and operational sites, which means “entry-level” can look very different depending on the org.

Locations and presence

Amazon has major corporate hubs in Seattle and Arlington (HQ2) plus large engineering and operations sites across North America, EMEA, and Asia-Pacific. For many corporate roles, Amazon’s stated expectation has shifted to five days per week in-office for office-based employees (with exceptions depending on role and site).

Palpable Score

76.7
/ 100
Amazon is one of the most accessible early-career employers at scale, with recurring internships and graduate hiring across many disciplines and geographies. Amazon also provides unusually clear public information about interview mechanics and publishes pay ranges on a large share of roles, which supports informed decision-making. The biggest drag on outcomes is the combination of high-performance culture signals and recent corporate job cuts, which adds risk for early-career stability depending on team and org.
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