Loading...

ML Data Associate Jobs 2026 | Amazon AGIDS | Chennai | Full-Time

February 4, 2026

Amazon is hiring ML Data Associates (AGIDS) for its Chennai location. This full-time role is part of Amazon’s Data Science & Analytics function and focuses on collecting, validating, and processing high-quality data that supports machine learning and artificial intelligence product development.

This opportunity is well-suited for graduates with strong attention to detail, analytical thinking, and an interest in working on AI-driven systems and large-scale data operations.


Quick Job Overview

Table 1: Job Details

CategoryDetails
CompanyAmazon
Job RoleML Data Associate – AGIDS
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
Mandatory SkillsEnglish (Read, Write, Speak)
Preferred ToolsMS Excel, MS Office

Role Overview – ML Data Associate (AGIDS) at Amazon

As an ML Data Associate, you will work on predefined guidelines to collect and generate ground truth data used for training and improving Amazon’s machine learning models. The role involves executing repetitive yet accuracy-critical tasks, following strict SLAs, and ensuring data quality standards are consistently met.

You will collaborate with internal systems and tools to capture results, report execution status, and escalate issues when required.


Key Responsibilities

  • Collect and validate ground truth data for ML and AI product development
  • Execute tasks accurately based on defined instructions and workflows
  • Understand and follow updated procedures for new task releases
  • Perform repetitive data-related tasks without compromising quality
  • Use internal software tools for data capture and reporting
  • Maintain productivity and quality benchmarks on a daily basis
  • Raise execution issues or doubts in the portal and close them within SLAs
  • Track and achieve daily targets considering internal and external dependencies
  • Prepare individual status reports and communicate execution outcomes

Required Skills & Qualifications

Technical & Analytical Skills

  • Basic understanding of data analysis concepts
  • Familiarity with tools such as Excel, SQL, Python, Tableau (advantage)
  • Exposure to Machine Learning, AI, NLP, or Computer Vision is a plus

Professional Skills

  • Strong attention to detail and process discipline
  • Ability to follow instructions precisely
  • Good communication and reporting skills
  • Comfortable working in a structured, target-driven environment

Why Join Amazon?

Amazon offers a fast-paced, technology-driven environment where employees contribute directly to real-world AI and machine learning systems. The ML Data Associate role provides hands-on exposure to large-scale data workflows, structured processes, and long-term growth opportunities within Amazon’s global data and analytics ecosystem.


FAQs – ML Data Associate Jobs at Amazon

1. What does an ML Data Associate do at Amazon?
An ML Data Associate works on collecting, validating, and processing data used to train and improve machine learning and AI models while ensuring quality and accuracy.

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

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

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

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

6. What skills are most important for this role?
Attention to detail, ability to follow instructions, communication skills, and consistency in meeting productivity and quality targets are critical.

7. What department does this role belong to?
The position falls under Data Science & Analytics at Amazon.

8. Is this a permanent job?
Yes, this is a full-time, permanent position.

9. What type of work will I do daily?
Daily work includes data execution tasks, quality checks, reporting results, raising issues, and meeting assigned targets.

10. How can I apply for the ML Data Associate role at Amazon?
Candidates can apply through Amazon’s official career portal. Amazon does not charge any fees for recruitment.


Also Apply – High Relevancy Jobs

CompanyJob RoleLocation
AmazonDevice Associate – QA & TestingChennai
AmazonDigital Content AssociateChennai
American ExpressAnalyst – Data ScienceBengaluru (Hybrid)
PwCAssociate – Data AnalyticsBengaluru
KPMGAnalyst – Data Analytics (Audit & DA)Bengaluru
S&P GlobalSDET – Software Test EngineerHyderabad
IRIS SoftwareAssociate Engineer – Quality EngineeringNoida
MicronAssociate Engineer – IT & ManufacturingHyderabad
adaData Analyst – FreshersBengaluru
CGIJunior Financial AnalystBengaluru

Also Explore – Career Guidance & Job Search Blogs

Career Trends & Future Opportunities (2026)

Blog Title
Top 10 Fastest Growing Career Fields in India in 2026
Career Roadmaps for Top Job Roles in 2026: Skills, Salary & Growth Path
Salary Trends for Freshers and Experienced Professionals in 2026

Skills, Certifications & Professional Growth

Blog Title
In-Demand Skills Recruiters Look for in 2026 (Beyond Degrees & Certifications)
Top Certifications to Boost Your CV in 2026
Soft Skills Every Professional Should Have to Succeed in Today’s Job Market

Resume, Interviews & Job Preparation

Blog Title
How to Build a Job-Ready Resume That Gets Shortlisted by ATS in 2026
How to Prepare for Job Interviews in 2026: A Step-by-Step Guide for Freshers

Job Search Strategies & Fresher Guidance

Blog Title
How Freshers Can Land Their First Job Without Experience in 2026
Smart Job Search Strategies for Freshers in 2026: Where and How to Apply
Common Job Search Mistakes in 2026 and How to Avoid Them
Experience
0 - 5
Work Level
Experienced, Fresher, Mid-Level
Employment Type
Full Time, Onsite
Salary
3.1 - 3.5 LPA
Get Instant Job Alerts