🔍 Looking to join Amazon as an ML Data Associate-II? Check out the Amazon Off Campus Recruitment 2025 Drive. Learn about eligibility and apply today!
About Amazon Business:
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one. amazon business, amazon business account, amazon wholesale, business amazon in.
Amazon hire top talent 2025:
Job Role :- ML Data Associate-II
job Category :- Operations, IT, & Support Engineering
job Type :- Full Time Job.
What You’ll Be Doing:
- Data Handling:
- Work with various types of data, including text, audio, images, and video.
- Ensure the confidentiality of all data handled.
- Data Labeling:
- Deliver high-quality labeled data using in-house tools and guidelines.
- Meet performance targets with a commitment to responsible and ethical AI development.
- Subject Matter Expertise:
- Become an expert in data workflows for Machine Learning (ML) projects.
- Demonstrate proficiency in tasks like researching information, generating accurate responses, ranking options, and annotating data.
- Data Analysis & Decision-Making:
- Analyze different types of data and make informed decisions.
- Make logical decisions even when dealing with ambiguous information.
- Process Improvement:
- Adapt to new labeling workflows and pay close attention to detail.
- Handle the entire data labeling process independently with minimal reliance on instructions.
- Identify and analyze errors, and suggest solutions to improve data quality.
- Identify and highlight process challenges, recommend improvements to Standard Operating Procedures (SOPs), tools, and workflows.
- Problem-Solving:
- Analyze and resolve issues independently while adhering to established processes.
Amazon Off Campus 2025 Eligibility Criteria:
What You Need:
- Education: Bachelor’s degree in any field.
- Experience: 0-2 years of relevant work experience.
- Research & Comprehension: Ability to effectively research, understand, and evaluate information from various sources.
- Resourcefulness: Proven ability to effectively use open-source resources for research.
- Adaptability: Ability to thrive in a fast-paced environment with changing demands.
- Work Ethic: Strong work ethic with a sense of ownership and a willingness to meet deadlines.
- English Proficiency: Excellent English language skills (reading, writing, speaking, and comprehension) at a minimum B2 level on the CEFR scale.
- Onsite Work: This is a 100% onsite role, which may require flexibility in your work schedule.
Preferred Qualifications:
- Education: Master’s degree (preferred).
- Experience:
- Exposure to US culture.
- Prior experience in the Machine Learning domain.
- Skills:
- Willingness to multitask.
- Excellent computer skills with a typing speed of 50 words per minute or faster.
Work Location
IND, TS, Hyderabad
How to Apply for Amazon Off Campus 2025?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
If you face any issues while applying. Do let us know in the comment section.
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