Are you passionate about artificial intelligence, robotics, and data processing? Are you looking for an entry point into the world of machine learning and automation? If yes, then this Junior ML Data Engineer opportunity with Amazon’s Consumer Robotics division could be your first big break into the world of AI and intelligent systems.
- 1 About Amazon Consumer Robotics
- 2 Role Overview: What Does a Junior ML Data Engineer Do?
- 3 Job Summary Table
- 4 Key Responsibilities
- 5 Why This Is a Perfect Role for Freshers
- 6 A Culture of Inclusion and Flexibility
- 7 Skills That Make You a Great Fit
- 8 Why Apply for the Junior ML Data Engineer Role?
- 9 Conclusion
- 10 Apply Now
About Amazon Consumer Robotics
Amazon is globally recognized for revolutionizing e-commerce, cloud computing, and now, consumer robotics. One of their groundbreaking innovations is Astro – a household robot designed to intuitively assist people in their homes. With Astro, Amazon is taking intelligent motion and AI to the next level by integrating computer vision, voice recognition, edge computing, and sensor-based technology.
The Consumer Robotics group is behind this innovation and they are now hiring for a key role: Junior ML Data Engineer (officially titled ML Data Associate I) to support the development and advancement of Astro and other smart home technologies.
Role Overview: What Does a Junior ML Data Engineer Do?
As a Junior ML Data Engineer, you will play a crucial role in Amazon’s AI development cycle. You’ll be responsible for gathering and managing ground-truth data—an essential component in training and validating machine learning models.
This role demands accuracy, responsibility, and consistency. You’ll work with internal software tools, follow clear instructions, report results, and be an integral part of the machine learning data pipeline that supports intelligent systems like Astro.
Job Summary Table
| Role Details | Description |
|---|---|
| Job Title | Junior ML Data Engineer (ML Data Associate I) |
| Job Location | Chennai, India |
| Company | Amazon India – Consumer Robotics |
| Eligibility | Bachelor’s Degree (any stream); Fluent in English |
| Experience Required | Freshers and Early-career Professionals |
| Key Responsibilities | Data collection, process execution, error reporting, quality assurance |
| Required Skills | MS Office, English proficiency, attention to detail |
| Preferred Skills | Flexible scheduling, familiarity with U.S. culture |
| Employment Type | Full-Time, Flexible Hours (includes weekends & holidays) |
| Job ID | 2997479 |
Key Responsibilities
As a Junior ML Data Engineer, your daily responsibilities will include:
- Executing tasks based on clearly defined instructions to collect ground-truth data.
- Capturing and validating results using Amazon’s internal tools.
- Following structured procedures for new tasks or data releases.
- Maintaining high productivity and quality benchmarks.
- Reporting execution failures and participating in their resolution.
- Ensuring timely completion of daily targets and escalation of issues when necessary.
Why This Is a Perfect Role for Freshers
This Junior ML Data Engineer role is designed with early-career professionals and recent graduates in mind. It doesn’t require advanced machine learning knowledge but gives you the opportunity to:
- Get hands-on exposure to real-world machine learning operations.
- Work closely with Amazon’s internal AI tools and development teams.
- Understand the practical use of data in AI/ML training pipelines.
- Become familiar with industry-standard processes and quality metrics.
This job is an ideal stepping stone for anyone aiming to pursue a long-term career in data science, machine learning, or artificial intelligence.
A Culture of Inclusion and Flexibility
Amazon values diversity, inclusivity, and accessibility. Whether you’re working nights, weekends, or holidays, you’ll be part of a supportive team that appreciates flexibility and dedication.
In addition, Amazon offers accommodations for individuals with disabilities at every stage of the hiring process to ensure everyone has an equal opportunity to thrive.
Skills That Make You a Great Fit
To succeed as a Junior ML Data Engineer, you should possess:
- A good grasp of Microsoft Office tools like Excel and Word.
- Strong communication skills in English—both written and verbal.
- A detail-oriented mindset with a high level of consistency.
- Willingness to learn, adapt, and follow data quality protocols.
- Experience or interest in working flexible shifts, including nights and weekends.
Bonus points if you’re already familiar with U.S. culture, which often helps in understanding certain task requirements or data contexts.
Why Apply for the Junior ML Data Engineer Role?
Here are a few compelling reasons to hit the apply button today:
- 📈 Career Growth: Gain solid experience in the AI/ML field with one of the world’s most innovative companies.
- 🧑🏫 Learning Opportunity: No advanced ML skills required—perfect for freshers or those transitioning into tech roles.
- 💼 Work-Life Balance: Flexible shifts and schedules tailored to your lifestyle.
- 🌟 Be Part of Something Big: Contribute to the evolution of consumer robotics and AI at scale.
Conclusion
The Junior ML Data Engineer position at Amazon is more than just a job—it’s a launchpad for your career in tech and AI. You’ll learn from the best, gain exposure to cutting-edge tools, and contribute meaningfully to Amazon’s mission to innovate.
So, if you’re a recent graduate or someone looking to pivot into AI/data careers, this is your golden opportunity.
Apply Now
Don’t miss out on this exciting opportunity to work at Amazon India as a Junior ML Data Engineer. Click the link below to read full job details and start your application:
Jobcode wish you all the best in your career building journey!
