Are you a recent graduate eager to break into the world of Machine Learning and Data Operations? If you’re looking for a hands-on role that introduces you to real-world data annotation and auditing, Amazon’s Associate, ML Data Operations role is a perfect starting point. This position offers freshers a great entry path to the AI and data-driven ecosystem, opening doors to countless opportunities in machine learning, data engineering, and automation.
Let’s dive into the full job details and understand how you can launch your tech career in one of the most innovative companies in the world!
- 1 Why Consider This Role as a Freshers ML Data Engineer?
- 2 About the Team & Role: ML Data Operations at Amazon
- 3 Freshers ML Data Engineer Job Summary
- 4 What Will You Do in This Role?
- 5 Key Skills Needed for ML Data Operations
- 6 Ideal Candidate Profile
- 7 How This Job Can Help You Grow
- 8 Amazon’s Work Culture & Benefits
- 9 Conclusion: Why Apply for This Freshers ML Data Engineer Role
Why Consider This Role as a Freshers ML Data Engineer?
In today’s AI-dominated tech landscape, companies like Amazon rely heavily on clean, accurate, and well-labeled data. That’s where ML Data Engineers and operations teams come in. If you’re a fresher with a passion for precision, pattern recognition, and technology, this is your opportunity to contribute to Amazon Robotics Fulfillment Centers while learning the core foundations of AI & ML operations.
You will gain experience working on:
- Real-world visual data (videos/images)
- Human-in-the-loop machine learning
- Inventory and automation support
- Large-scale data annotation processes
About the Team & Role: ML Data Operations at Amazon
The GO-AI (Global Online Artificial Intelligence) Operations team plays a key role in enabling automation at Amazon’s robotics-powered fulfillment centers. The team audits short videos/images to verify storage accuracy — a process essential to Amazon’s inventory management and AI systems.
As an ML Data Operations Associate, your job is to:
- Watch stowing activity videos
- Use tools to mark product locations
- Ensure data accuracy with attention to detail
- Support automation processes through data annotation
This is a non-technical role that still allows you to be deeply involved in the machine learning lifecycle.
Freshers ML Data Engineer Job Summary
Here’s a quick overview of the role:
| Job Title | Associate, ML Data Operations |
|---|---|
| Company | Amazon (GO-AI Operations) |
| Job Location | Pune, Hyderabad, Chennai, Mumbai, Bangalore, Visakhapatnam (Virtual) |
| Experience Level | Entry-Level / Freshers welcome |
| Job Type | 6-month Contract (Full-time) |
| Department | Machine Learning Science |
| Education | Bachelor’s Degree (any stream) |
| Shifts | Rotational (24×7 including night shifts) |
| Work Mode | Work-from-Home / Virtual |
| Preferred Skills | Observation, Focus, Accuracy, Video Annotation |
What Will You Do in This Role?
Your day-to-day responsibilities as a freshers ml data engineer will include:
- Watching hundreds of short product-stowing videos during each shift
- Making observations about product placement using Amazon tools
- Marking correct product locations with precision
- Collaborating with remote teams to improve process outcomes
- Participating in virtual meetings and coaching sessions
This role trains you to work with large volumes of data, build observational accuracy, and contribute directly to machine learning data pipelines used in automation.
Key Skills Needed for ML Data Operations
While this is an entry-level role, here are the key attributes Amazon looks for in ML Data Engineer freshers:
- Strong attention to detail and ability to focus on screen for long periods
- Patience and consistency in reviewing video content
- Familiarity with basic computer operations and willingness to work remotely
- Readiness to work in rotational shifts (including nights and weekends)
- Strong communication and team collaboration
Ideal Candidate Profile
The role is perfect for:
- Recent graduates seeking to enter the tech/AI industry
- Freshers looking for non-coding roles in ML/AI
- Individuals passionate about tech, data quality, and automation
- Job seekers comfortable with video/image review tasks
- Candidates ready to explore data annotation and quality assurance roles
How This Job Can Help You Grow
While this is a non-tech role, it sets the perfect foundation for a career in:
- ML Data Engineering
- AI Model Training & Annotation
- Computer Vision Operations
- Quality Assurance in AI Systems
- Data Labeling and Image Processing
This freshers ML data engineer opportunity gives you hands-on experience with how AI systems are trained and validated — skills highly valued in data-centric roles.
Amazon’s Work Culture & Benefits
Working at Amazon means you’ll enjoy:
- A diverse and inclusive environment
- Flexible remote work (based on business need)
- Night shift allowances
- Exposure to global AI projects
- Learning opportunities through coaching and team collaboration
Conclusion: Why Apply for This Freshers ML Data Engineer Role
If you’re looking to start a meaningful career in AI and data, the Associate, ML Data Operations role at Amazon is the perfect opportunity. As a fresher, this job gives you practical insights into how Amazon’s tech-driven backend operates — and offers a real-world view into machine learning infrastructure.
Whether you’re interested in data engineering, AI quality control, or automation technologies, this experience will set you on the right path.
📌 Apply today and begin your career as a Freshers ML Data Engineer at Amazon!
Amazon is known for investing in its talent and offering fast-track career growth. Don’t miss this chance to join a world-class organization at the heart of AI innovation.
