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.
| Category | Details |
|---|---|
| Company | Amazon |
| Job Role | ML Data Associate – AGIDS (Replenishment Services) |
| Experience | 0 – 5 Years |
| Location | Chennai, Tamil Nadu |
| Work Model | On-site |
| Employment Type | Full-Time, Permanent |
| Industry | Internet / E-commerce |
| Department | Data Science & Analytics |
| Role Category | Data Science & Analytics – Other |
| Openings | 1 |
| Criteria | Details |
|---|---|
| UG Qualification | Any Bachelor’s Degree |
| PG Qualification | Any Postgraduate (Optional) |
| Eligible Batches | 2021, 2022, 2023, 2024, 2025, 2026 |
| Language Requirement | English (Read, Write, Speak) |
| Basic Tools | Microsoft Office (Excel, Word) |
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.
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.
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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|---|---|---|
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