📋 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 Basic Problem-Solving Research Using Common Search Tools Attention to Detail ML Data Associate-I at Amazon — Full Details & How to Apply Amazon is seeking a ML Data Associate-I in Chennai, TN, India , where candidates will use Microsoft Office skills to perform data-related tasks. This role is part of Amazon ’s technology sector and offers on-site work in Chennai, TN, India for eligible graduates. The ML Data Associate-I role supports machine learning initiatives by ensuring data accuracy through responsibilities like following multi-step instructions and conducting basic research. The position relies on core skills such as technical communication , attention to detail , and basic problem-solving . These tasks directly contribute to maintaining data quality and operational efficiency within Amazon ’s data workflows. Amazon recruitment for this role emphasizes technical communication , research using common search tools , and attention to detail . The position is part of Amazon ’s technology operations and is designed for individuals with foundational data exposure. The job posting confirms the role is available in Chennai, TN, India with onsite work requirements. 2022, 2023, 2024, 2025 graduates who hold a High School or equivalent diploma and have 0-2 years of experience are eligible. The role does not specify a salary, so Not Disclosed is the current pay range. Candidates will develop hands-on experience with Microsoft Office , technical communication , and basic problem-solving . This role provides foundational exposure to data operations and may support progression into more advanced data or technical roles within Amazon ’s technology team. 📊 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. Explore more ML Data Associate-I jobs , Amazon recruitment , and Chennai, TN, India jobs on our platform. Job Role & Responsibilities The ML Data Associate-I role at Amazon ensures accurate data documentation and operational reporting by executing structured tasks using Microsoft Office tools and maintaining data quality through precise execution. This position supports core data workflows in a scalable technology environment with a focus on measurable output accuracy and process consistency. Utilize Microsoft Excel to create and manage data logs, ensuring consistent formatting and accurate entry of numerical records for daily operational tracking. Compose clear emails using Microsoft Word and Outlook to communicate technical updates, ensuring all recipients receive precise, error-free information in business correspondence. Follow multi-step instructions provided in technical documents, verifying each step with attention to detail to avoid errors in data processing and workflow execution. Conduct research using Google Search and Google Scholar to gather foundational information on data collection methods and common data validation techniques. Maintain data accuracy by cross-checking entries in spreadsheets and reports, applying attention to detail to prevent discrepancies in recorded metrics and process outputs. Document data workflows using Microsoft Word templates to create step-by-step process records that support reporting and improve operational efficiency. Identify and resolve basic data errors by applying basic problem-solving techniques to troubleshoot inconsistencies in data entries or reporting outputs. Support data reporting efforts by preparing structured reports in Microsoft PowerPoint and Excel to visualize key performance metrics and operational trends. This role requires direct ownership of data documentation tasks, where every output must reflect data accuracy , process consistency , and operational precision to support Amazon ’s data-driven decision-making pipeline. Required Skills & Technical Competencies The ML Data Associate-I role demands a clear, measurable skill set focused on practical data handling, with all competencies directly tied to real-world tools and tasks. Candidates must demonstrate proficiency in core technical tools and structured communication methods. Technical Skills Microsoft Office — entry — used to create, edit, and manage data reports, spreadsheets, and documentation in Excel , Word , and PowerPoint for operational visibility. Technical Communication — entry — applied to write clear, concise emails and business documents using Microsoft Word and Outlook to convey technical data accurately. Basic Problem-Solving — entry — used to diagnose and resolve minor data inconsistencies or workflow errors during data entry and reporting tasks. Research Using Common Search Tools — entry — executed using Google Search and Google Scholar to locate foundational data practices and validation methods for data tasks. Attention to Detail — entry — enforced during data entry, report formatting, and document review to ensure data accuracy and output consistency in all deliverables. When preparing a resume, emphasize hands-on experience with Microsoft Excel data entry, Google Search research, and structured documentation using Microsoft Word templates. Eligibility Criteria This role is designed for freshers with a high school diploma or equivalent, who can perform structured data tasks with minimal supervision and are enrolled in eligible academic batches. Must hold a high school diploma or equivalent qualification to meet foundational academic requirements. Must be part of eligible batches: 2022, 2023, 2024, or 2025 for application consideration. Experience requirement is 0–2 years , explicitly accepting candidates with no prior work history. No CGPA or academic performance thresholds are specified in the job posting. No requirement for projects, GitHub, internships, or portfolios is stated in the job description. Must demonstrate practical task execution through documented work samples in Microsoft Office formats. Documentation & Portfolio Requirements Include a resume with clear sections on Microsoft Office usage, research activities , and data documentation completed during school or personal projects. Use structured templates to show consistency and precision. For this role, prioritize showcasing Microsoft Excel data logs, Google Search research notes, and Word -formatted reports that demonstrate attention to detail and data accuracy in real tasks. 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 significantly enhances your chances of selection for the ML Data Associate-I role at Amazon . Recommended Courses & Resources Microsoft Office — Essential for demonstrating proficiency in tools required for data management and documentation. KodNest — Offers practical insights into problem-solving and research skills relevant to the role. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without showing evidence of proficiency in Microsoft Office — Include specific examples of usage. ❌ Using a generic resume instead of aligning experience with the responsibilities listed in the job description — Tailor your resume to the job. ❌ Listing Microsoft Office without detailing where it was used in a project or previous role — Provide context for your skills. ❌ Ignoring the qualification and experience requirements specified in the posting — Ensure you meet all criteria. ❌ Adding unrelated technologies or unsupported claims to increase ATS keywords — Stick to relevant skills only. ❌ Applying without checking the official Apply URL and verifying the job details before submission — Always confirm job specifics. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the 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 standing out in the application process for the ML Data Associate-I role at Amazon . ATS Keywords to Include Microsoft Office Technical Communication Basic Problem-Solving Research Skills Attention to Detail Data Quality Documentation Troubleshooting Multi-step Instructions Basic Writing Skills Active Listening Organizational Skills Resume Tips for This Role Highlight your proficiency in Microsoft Office prominently on your resume. Emphasize your technical communication skills and any relevant experience in documentation. Consider including any projects or experiences that demonstrate your problem-solving abilities. Use exact relevant JD keywords naturally for ATS alignment without keyword stuffing. Avoid adding unsupported claims or technologies that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Do not include unrelated experiences 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 company portal or 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 based in Chennai, TN, India . The position is onsite and part of Amazon ’s technology operations in India. This role supports data-related tasks within a technical environment. Team members perform technical communication , conduct basic research, and apply problem-solving and attention to detail . Responsibilities include using Microsoft Office , following instructions, and composing clear business documents with accuracy and care. This role provides early-career exposure through hands-on experience in technical communication , research, and attention to detail —key skills for data and technical roles. It builds foundational competencies in a real-world, collaborative setting. 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 qualification from the eligible batches of 2022, 2023, 2024, and 2025 can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Microsoft Office, Technical Communication, Basic Problem-Solving, Research Skills, 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 as per 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 skills. 2. Practice technical communication. 3. Prepare examples of problem-solving. 4. Familiarize yourself with basic research tools. 5. Be ready to demonstrate attention to detail. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Chennai, TN. ? 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 technology-focused environment. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight skills in Microsoft Office, technical communication, problem-solving abilities, attention to detail, and any relevant educational qualifications. ? 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 requires onsite work, indicating a collaborative environment, although specific details are not provided. ? Can freshers apply for this role? Fresher Tap to expand + Answer Yes, freshers can apply as the experience requirement is 0-2 years. 🔗 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