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ML Data Associate Jobs 2026 | AGIDS – Replenishment Services | Amazon | Chennai

Amazon is hiring ML Data Associates (AGIDS – Replenishment Services) for its Chennai location. This full-time, permanent role is part of Amazon’s Data Science & Analytics division and supports machine learning systems used in replenishment, forecasting, and product decision workflows.

The role is suitable for graduates who are detail-oriented, comfortable with structured processes, and interested in contributing to AI- and ML-driven product development through high-quality data execution.


Quick Job Overview

Table 1: Job Details

CategoryDetails
CompanyAmazon
Job RoleML Data Associate – AGIDS (Replenishment Services)
Experience0 – 5 Years
LocationChennai, Tamil Nadu
Work ModelOn-site
Employment TypeFull-Time, Permanent
IndustryInternet / E-commerce
DepartmentData Science & Analytics
Role CategoryData Science & Analytics – Other
Openings1

Table 2: Education & Eligible Batches

CriteriaDetails
UG QualificationAny Bachelor’s Degree
PG QualificationAny Postgraduate (Optional)
Eligible Batches2021, 2022, 2023, 2024, 2025, 2026
Language RequirementEnglish (Read, Write, Speak)
Basic ToolsMicrosoft Office (Excel, Word)

Role Overview – ML Data Associate (AGIDS – Replenishment Services)

As an ML Data Associate, you will work on predefined instructions to generate and validate ground truth data that supports Amazon’s replenishment and supply-related machine learning models. The role requires consistent execution, strict adherence to SLAs, and maintaining high productivity and quality benchmarks.

You will use internal tools to capture results, report progress, escalate issues, and meet daily targets while working closely with data-driven processes.


Key Responsibilities

  • Collect and process ground truth data for ML product development
  • Execute tasks accurately based on defined workflows and instructions
  • Understand and adapt to updated procedures for new task releases
  • Perform repetitive data execution tasks while maintaining quality standards
  • Use internal software tools for data capture and reporting
  • Track productivity and quality metrics on a daily basis
  • Raise execution issues or doubts through internal portals and close them within SLAs
  • Communicate results, status updates, and escalations clearly
  • Own daily deliverables considering internal and external dependencies

Required Skills & Qualifications

Technical & Domain Skills

  • Basic understanding of data analysis and structured data workflows
  • Exposure to Excel, SQL, Python, Tableau is an advantage
  • Awareness of Machine Learning, AI, NLP, or Computer Vision concepts is a plus

Professional Skills

  • Strong attention to detail and consistency
  • Ability to follow instructions precisely
  • Clear written and verbal communication skills
  • Comfortable working in a target-driven environment

Why Join Amazon?

Amazon provides a structured and technology-focused work environment where employees contribute directly to real-world machine learning and AI systems. The ML Data Associate role offers hands-on exposure to large-scale data operations, quality-driven execution, and long-term career growth within Amazon’s global analytics ecosystem.


FAQs – ML Data Associate Jobs at Amazon

1. What does an ML Data Associate do in Replenishment Services?
The role involves collecting and validating data used to train and improve machine learning models that support replenishment, forecasting, and supply-related systems.

2. Where is this job located?
This position is based in Chennai, Tamil Nadu, and requires working from the office.

3. Is this role open to freshers?
Yes. Candidates with 0–5 years of experience, including freshers, are eligible to apply.

4. What educational qualification is required?
A Bachelor’s degree is mandatory. Postgraduate qualifications are optional and considered an added advantage.

5. Are programming skills mandatory for this role?
Programming skills are not mandatory, but familiarity with Python, SQL, or data analysis tools is beneficial.

6. What department does this role belong to?
The role is part of Data Science & Analytics at Amazon.

7. Is this a permanent position?
Yes, this is a full-time, permanent role.

8. What skills are most important for success in this role?
Attention to detail, process discipline, communication skills, and the ability to meet productivity and quality benchmarks are critical.

9. What type of daily work is involved?
Daily work includes task execution, data validation, reporting results, raising issues, and meeting assigned targets.

10. How can candidates apply for this role?
Candidates can apply through Amazon’s official career portal. Amazon does not charge any fees for recruitment.


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Experience
0 - 5
Work Level
Experienced, Fresher, Mid-Level
Employment Type
Full Time, Onsite
Salary
4 - 6 LPA

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