Looking for a career in AI and machine learning? Explore the ML Data Associate II position at Amazon in Chennai, where you’ll work on cutting-edge data labeling for AI models. Discover job responsibilities, qualifications, and application steps.

Amazon Job Overview

If you are passionate about AI and want to be part of an innovative team, Amazon is offering an exciting opportunity as an ML Data Associate-II. In this role, you will work closely with machine learning models, contributing to the development of AI technologies by labeling and evaluating text, image, audio, and video data. This position is 100% onsite in Chennai, India, and welcomes both fresh graduates and individuals with up to two years of experience.

Key job responsibilities:

• Work with various data types (text, audio, speech, image, video).
• Deliver high-quality labeled data using Amazon’s proprietary tools.
• Serve as a subject matter expert in Machine Learning (ML) workflows.
• Make logical decisions, even when data is ambiguous.
• Contribute to process improvements and root cause analysis.
• Balance adherence to processes with independent problem-solving.

A Day in the Life:

In this role, you’ll be responsible for foundational tasks like dialogue evaluation and labeling various data forms, all to enhance AI models. Your adaptability and sharp attention to detail will be vital as you transition between different data types and processes. You’ll work in a collaborative environment with other data experts, and your contributions will directly improve customer experiences by advancing Amazon’s AI technologies.

About the Team:

You’ll join a team responsible for data creation, curation, and analytics services, working alongside machine learning science and modeling teams. Together, you’ll ensure the AI models continue to evolve in areas like speech recognition, visual recognition, and language understanding.

Job Details Table

Required Qualifications

Basic Qualifications:

• Bachelor’s degree in any discipline.
• 0-2 years of work experience with strong task execution skills.
• Ability to conduct in-depth research across various domains.
• Adaptability in a fast-paced, dynamic environment.
• Willingness to meet daily deadlines and take ownership of tasks.

Preferred Qualifications:

• Bachelor’s or Master’s degree.
• Familiarity with US culture and prior experience in the machine learning domain.
• Strong typing speed (>50 wpm).
• Exposure to machine learning workflows and multi-tasking abilities.

Skills & Requirements:

• English language proficiency at least at CEFR level B2 in reading, writing, and speaking.
• expertise annotating data for AI models and dealing with huge datasets.
• Excellent analytical abilities with a precise and meticulous eye for detail.
• Outstanding multitasking and flexibility abilities.
• high level of computer knowledge, which includes rapid typing.

How to Apply for the ML Data Associate-II Role

Step 1: Click on the Apply link provided.

Step 2: Follow the instructions to fill out the online application form, upload your resume, and complete any required assessments.

Step 3: Await confirmation from Amazon’s hiring team regarding the next steps.

Note: Amazon will never ask for fees during the recruitment process. Ensure you only use official channels to apply.

Resume Keywords for the ML Data Associate-II Role

Incorporating the right keywords in your resume can make it stand out when applying for the ML Data Associate-II position. Here are a few relevant keywords and suggestions on where to insert them:

Key Resume Keywords:

1. Machine Learning (ML) – Use in your Summary or Objective, and under Skills.
2. Data Annotation – Include in the Experience section, especially if you’ve worked with data labeling.
3. AI Model Training – Mention in your Experience or Skills sections.
4. Data Labeling Tools – Highlight in Skills or Experience if applicable.
5. Speech Recognition – Add in the Experience section if relevant to past jobs.
6. Image and Video Annotation – Include in Experience or Skills.
7. Critical Thinking – Can be emphasized in Skills and Summary.
8. Problem-Solving – Include under Skills and in specific job accomplishments within Experience.
9. Research and Analysis – Mention in Skills or Experience when describing your research abilities.
10. Adaptability – Showcase this soft skill in the Summary and Skills sections.

Where to Insert These Keywords:

• Summary/Objective: “A detail-oriented professional with experience in Machine Learning (ML) workflows, specializing in data annotation, AI model training, and critical thinking for AI system improvement.”
• Skills Section: “Proficient in data labeling tools, speech recognition, problem-solving, and research and analysis.”
• Experience Section: “Performed image and video annotation for AI models to enhance speech recognition capabilities, demonstrating strong adaptability in a fast-paced environment.”

Interview Tips for ML Data Associate-II Role

1. Understand the Basics of Machine Learning (ML):

Even if the role is data-centric, having a foundational understanding of how ML models work will set you apart. Be prepared to discuss how data labeling impacts model accuracy and training.

2. Highlight Your Analytical Skills:

This role requires strong critical thinking and decision-making. In the interview, provide examples of times when you used analytical skills to solve problems or improve processes.

3. Showcase Adaptability:

Amazon’s work environment is dynamic, so emphasize your ability to handle changing tasks and deadlines. Share past experiences where you successfully adapted to shifting priorities.

4. Emphasize Attention to Detail:

Since this job requires working with varied data types and maintaining high accuracy, stress your attention to detail and ability to follow strict guidelines. Provide examples of work where detail-oriented tasks were key to success.

5. Prepare for Behavioral Questions:

Amazon is known for asking behavioral questions. Be ready to discuss situations where you took ownership of a project, demonstrated leadership, or innovated a solution. Use the STAR method (Situation, Task, Action, Result) to frame your responses.

6. Research Amazon’s AI Innovations:

Familiarize yourself with Amazon’s AI efforts, especially with Alexa and Echo devices, as they are closely related to this role. Be ready to discuss how your skills align with the company’s AI and machine learning objectives.

By integrating these keywords and preparing well for the interview, you’ll be better positioned to land the ML Data Associate-II role.

Frequently Asked Questions (FAQs)

1. What is the primary responsibility of an ML Data Associate at Amazon?

The ML Data Associate primarily works on labeling and evaluating data (text, images, audio, video) to enhance the performance of AI models. This data is crucial for training and testing machine learning systems.

2. What qualifications do I need to apply for this role?

Candidates must have a bachelor’s degree in any field and between 0 and 2 years of work experience. Proficiency in English and research skills are also required.

3. Is this role fully remote?

No, this position is 100% onsite, based in Chennai, India.

4. What is the typical salary range?

Amazon offers competitive salaries based on qualifications and experience. Further details will be shared during the hiring process.

5. Does Amazon charge any fees for the application process?

No, Amazon does not charge any fees for job applications. If you encounter anyone asking for money, it is likely a scam.

Disclaimer:

This information is provided for informational purposes only. We do not charge any fee for job postings or applications, and the details in this post are sourced directly from official job listings. Please ensure you visit Amazon’s official career page for accurate and updated information.

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