Amazon Walk-In Drive for ML Data Associate – Coimbatore – 12th July 2025
🚀 Join Amazon’s AI Revolution – Build the Future with Generative AI!
Amazon is hiring ML Data Associate – II in Coimbatore through a walk-in interview on 12th July 2025. This is your chance to be part of a pioneering team working on cutting-edge machine learning and AI-driven solutions.
📅 Walk-in Interview Details:
- Date: 12th July 2025
- Time: 9:30 AM – 2:00 PM
- Venue:
KPR Institute of Engineering and Technology,
Avinashi Road, Arasur,
Coimbatore – 641407, Tamil Nadu, India - Contact: Udhay
🧠 Job Role: ML Data Associate – II
- Experience: 0 – 5 years
- Salary Range: ₹4 – ₹5 LPA
- Job Location: Chennai (Contractual)
- Type: Full-Time, Contract (1-Year)
- Shifts: Rotational (5 Days a Week, Work From Office)
🌟 About the Role:
As an ML Data Associate, you’ll contribute to Amazon’s next-generation AI systems by labeling and analyzing text, audio, speech, image, and video data. Your work will power large language models (LLMs) and generative AI products across Amazon.
🔍 Key Responsibilities:
- Label and annotate multimodal datasets (text, audio, video, image) using internal tools
- Maintain strict confidentiality and data privacy standards
- Identify root causes and improve labeling accuracy
- Support operational deliverables and clarify internal queries
- Demonstrate flexibility and high attention to detail
- Work in alignment with Amazon’s AI ethics and guidelines
🧾 Required Skills:
- Excellent observational, decision-making, and problem-solving skills
- Quick adaptability to shifting categories and annotation tasks
- Strong communication and data analysis skills
- Ability to work in rotational shifts and a fast-paced environment
- Strong commitment to data integrity and confidentiality
🎓 Eligibility Criteria:
- Any Graduate (UG degree mandatory)
- Fresher to 5 years of relevant experience welcome
- Must be available for 1-year contract role
- Willing to work from office in Chennai
- Immediate joiners preferred
🔥 Why Join Amazon’s AI Team?
- Contribute to real-world AI innovation
- Be part of a diverse, dynamic, and visionary team
- Exposure to machine learning workflows and industry tools
- Enhance your tech and data processing career
📌 Important Note:
This is a contract-based role with rotational shifts. Please carry your updated resume, photo ID, and academic certificates when attending the interview.
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