📋 Job Details at a Glance 📍 Location Chennai, TN, India 🏢 Company Amazon 👥 Experience 0-2 years 🎓 Qualification High School or equivalent diploma 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Microsoft Office Technical Communication Problem Solving Research Capabilities Attention to Detail ML Data Associate-I at Amazon — Full Details & How to Apply Amazon is hiring for a ML Data Associate-I in Chennai, TN, India , where candidates will support data operations using Microsoft Office and problem-solving skills. This role offers a fixed-term contract opportunity for recent graduates with foundational qualifications and hands-on experience in technical communication and data accuracy. The ML Data Associate-I role is critical for ensuring data quality and operational efficiency within Amazon ’s technology operations. Responsibilities include following multi-step instructions, maintaining attention to detail , and performing research tasks—all of which rely on strong technical communication and problem-solving abilities. These duties directly contribute to data management processes and quality assurance in real-world data workflows. This position is part of Amazon ’s technology sector and is listed under Amazon recruitment. The job posting specifies that the role involves using Microsoft Office tools and requires candidates to demonstrate research capabilities and attention to detail . Amazon is seeking individuals to assist in data operations through structured, task-based responsibilities. 2022, 2023, 2024, 2025 graduates , with a High School or equivalent diploma and 0-2 years of experience , are eligible. The salary for this role is Not Disclosed . This opportunity is available in Chennai, TN, India and requires onsite work. Candidates will develop practical experience in Microsoft Office , technical communication , problem solving , and research capabilities . With attention to detail , this role provides foundational exposure to data operations and may support progression into more advanced data or technical roles within Amazon ’s technology ecosystem. 📊 Role Difficulty: Low | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for ML Data Associate-I jobs , explore Amazon recruitment opportunities, and find Chennai, TN, India jobs with clear eligibility and skill requirements. Job Role & Responsibilities The ML Data Associate-I role at Amazon ensures accurate data handling by executing precise data validation and documentation tasks using Microsoft Office tools. This position supports core data operations through structured, error-free execution of daily data tasks. Utilize Microsoft Office to generate clear business documents, including reports and emails, ensuring consistent formatting and accurate data presentation. Demonstrate technical communication by drafting business emails and documents that convey data points with minimal ambiguity and correct structure. Collaborate with team members to follow multi-step instructions in data workflows, ensuring each step is executed with precision and traceability. Engage in basic research using Google Search and Microsoft Search to locate operational data sources and support data collection efforts. Maintain attention to detail during data quality checks, identifying and flagging inconsistencies in datasets with a 99% accuracy threshold. Document data processes and support reporting efforts by creating structured, versioned records using Microsoft Word and Excel . Apply problem-solving skills to troubleshoot data entry errors, such as missing fields or incorrect formatting, using step-by-step debugging methods. Support data operations by verifying data integrity through manual validation of records using Microsoft Excel formulas and pivot tables. This role demands direct ownership of data accuracy and operational consistency, where every task impacts the reliability of data quality metrics and downstream reporting outcomes. Required Skills & Technical Competencies The ML Data Associate-I role requires a focused skill set centered on practical, hands-on use of technical communication , Microsoft Office , and data validation tools. These competencies are applied in real-world data tasks with measurable outcomes. Technical Skills Technical communication — entry — used to compose clear, error-free business emails and documents using Microsoft Word and Outlook formatting rules. Microsoft Office — entry — applied in creating structured reports and data logs using Microsoft Excel and Word for data entry and documentation. Problem solving — entry — used to resolve data entry issues such as missing values or incorrect formatting through systematic troubleshooting in Excel . Research capabilities — entry — employed to gather operational data using Google Search and Microsoft Search tools to locate relevant data sources. Attention to detail — entry — critical for detecting data inconsistencies during quality checks, ensuring a 99% accuracy rate in data validation tasks. When showcasing these skills, emphasize specific tools used (e.g., Excel formulas, Word templates) and measurable outcomes such as error detection rates or document clarity scores. Eligibility Criteria This role is designed for high school diploma holders with a foundational understanding of business communication and data handling, particularly those from eligible batches of 2022 to 2025. It is accessible to candidates with minimal prior experience. Must hold a high school diploma or equivalent certification as the minimum academic qualification. Only candidates from 2022, 2023, 2024, and 2025 batches are eligible for application. Experience requirement is 0–2 years , making it accessible to recent graduates and entry-level students. No CGPA or academic performance threshold is specified in the job posting. No projects , GitHub , internships , or certifications are required for this role. No portfolio or experiential documentation is required for eligibility. Documentation & Portfolio Requirements Your resume must include a clear, structured format with a high school diploma certification, a list of relevant coursework, and a brief description of data-related tasks performed in school or personal projects using Microsoft Office . For this role, prioritize demonstrating hands-on use of Microsoft Excel and Word in data tasks, such as creating data logs or reports, to align with the required technical communication and attention to detail competencies. Salary for ML Data Associate-I at Amazon 💰 Compensation Not Disclosed The advertised compensation for the ML Data Associate-I role at Amazon is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for ML Data Associate-I Upskilling with the right resources can significantly improve your selection odds for the ML Data Associate-I role at Amazon . Recommended Courses & Resources Microsoft Office — Mastering Microsoft Office is crucial for daily tasks in this role. KodNest — Enhances problem-solving and analytical skills relevant to data tasks. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating technical communication skills — Include relevant examples in your resume. ❌ Using a generic resume — Tailor it to the specific responsibilities listed in the job description. ❌ Listing Microsoft Office without details — Specify how you utilized it in previous roles or projects. ❌ Ignoring qualification requirements — Ensure you meet the specified criteria in the posting. ❌ Adding unrelated skills — Focus on relevant experiences to avoid keyword stuffing. ❌ Failing to verify the official Apply URL — Always check the link before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for ML Data Associate-I Optimizing your resume for ATS is crucial for increasing your chances of being noticed for the ML Data Associate-I role. ATS Keywords to Include Microsoft Office Technical Communication Problem Solving Research Capabilities Attention to Detail Basic Writing Skills Reading Comprehension Active Listening Analytical Thinking Multi-step Instructions Detail-oriented Organizational Skills Resume Tips for This Role Highlight technical communication skills prominently, as they are essential for the role. Emphasize proficiency in Microsoft Office tools, as they are crucial for daily tasks. Showcase relevant projects or experiences that demonstrate problem-solving abilities. Use exact keywords from the job description naturally to align with ATS requirements. Avoid adding unsupported technologies or experiences that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated skills or unsupported claims in your resume for this role. How to Apply for ML Data Associate-I at Amazon Apply Now — Amazon Open the official Apply URL and confirm the job title and company matches " ML Data Associate-I " at Amazon . Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience for the role. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official Amazon jobs portal or your registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — Amazon NexisGrow.com does not charge any fees for job applications. Amazon Amazon is a technology company with a ML Data Associate-I role in Chennai, TN, India , operating in an onsite work mode. This position supports data management within Amazon ’s technology industry operations in India. The team focuses on technical communication , problem solving , research, and attention to detail using Microsoft Office tools. Responsibilities include composing clear emails, following instructions, and conducting basic research to support data tasks. This role provides early-career exposure through hands-on experience in technical communication , data handling, and research—key skills used in data operations at Amazon . The role builds foundational skills in data management and communication, offering early-career exposure through practical use of Microsoft Office and structured problem-solving tasks. Company Details Industry Technology Location Chennai, TN, India Connect With Us Careers Apply Now Website 🔗 amazon.jobs Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a high school diploma or equivalent from the eligible batches of 2022, 2023, 2024, and 2025 with 0-2 years of experience can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Technical communication, Microsoft Office proficiency, problem-solving, research capabilities, and attention to detail are crucial for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available in the job data. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Microsoft Office tools. 2. Practice technical communication skills. 3. Prepare examples of problem-solving experiences. 4. Familiarize yourself with basic research techniques. 5. Ensure clarity in your resume regarding qualifications. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Chennai, TN, India. ? What career exposure can this role provide? Growth Tap to expand + Answer This role provides exposure to data management, technical communication, and problem-solving within a leading technology company. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight technical communication, Microsoft Office skills, problem-solving abilities, and attention to detail. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves onsite work, but specific collaboration or operational context details are not provided. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, freshers with 0-2 years of experience are welcome to apply. 🔗 Explore More on NexisGrow More jobs in Chennai Browse all Tech jobs More jobs at Amazon Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com