Amazon Hyderabad Job Openings
Amazon Hyderabad Job Openings offer exciting opportunities for individuals passionate about innovation and technology. Amazon is a global leader in e-commerce, cloud computing, and artificial intelligence solutions. Its mission is to be Earth’s most customer-centric company, constantly evolving to enhance shopping, delivery, and digital experiences. Known for its diverse and inclusive culture, Amazon fosters creativity, innovation, and growth. Joining Amazon means becoming part of a dynamic environment where your ideas shape the future of technology.
If you’re seeking to grow in Amazon AI Data Roles or explore Amazon Machine Learning Jobs, this is your chance to start a career that makes an impact.
Job Details
Job Title: Data Associate, Grocery ECO
Job ID: 3112674
Location: Hyderabad, Telangana (On-site)
Employment Type: Full-Time
Batch: 2022–2025
Experience: 0–2 Years
Salary: As per Industry Standards
Qualification: Bachelor’s Degree in any discipline
Certifications: Not Mandatory
Department: Administrative Support / AI & Data Operations
Role Overview
We are hiring a Data Associate to join our team at Amazon Dev Center India. This role is part of the Amazon Grocery ECO Hiring program, supporting the development of smart shopping solutions through AI and machine learning. As a Data Associate, you will label, categorize, and analyze datasets that train AI models for Amazon Fresh Hiring Hyderabad operations. The position requires high attention to detail, analytical thinking, and the ability to work in a fast-paced environment.
Key Responsibilities
- Perform data collection and annotation tasks related to Amazon devices, applications, and services.
- Label, tag, and categorize large datasets such as text, images, and audio using defined SOPs.
- Identify and classify features and patterns within datasets for improved AI accuracy.
- Collaborate with team members to maintain quality and efficiency in project delivery.
- Troubleshoot and report tool or software issues to relevant technical teams.
- Maintain strict confidentiality while managing customer and operational data.
- articipate in process improvement activities to enhance data quality and speed.
- Support innovation by leveraging automation tools and data-driven insights.
- Analyze data trends to find root causes and implement effective solutions.
Required Skills
- Excellent attention to detail and consistency in following annotation instructions.
- Strong written and verbal communication skills in English.
- Knowledge of Microsoft Office tools like Excel, Word, and Outlook.
- Analytical mindset with the ability to identify patterns and anomalies.
- Team player with adaptability to handle multiple tasks.
- Flexible to work across all shifts (as per business requirements).
- Work from office, 5 days a week.
- Prior exposure to Amazon AI Data Roles or data annotation tools is a plus.
About the Team Amazon Hyderabad Job Openings
The Grocery ECO team is responsible for building an innovative, checkout-free shopping experience powered by machine learning and computer vision. The ECO smart cart enables customers to shop seamlessly without waiting in lines. Each cart automatically scans items, tracks live receipts, and bills the customer through their Amazon account once they exit the store.
This project combines AI, sensor fusion, and data science, representing the future of retail technology. Working in this team gives you direct exposure to real-world AI applications and large-scale data operations, similar to those found in Amazon Machine Learning Jobs and other Amazon India Career Opportunities.
Why Join Amazon
Choosing a position from the Amazon Hyderabad Job Openings list allows you to contribute to world-class projects while advancing your career. Amazon offers an inclusive, dynamic workplace where innovation meets collaboration. Employees are empowered to experiment, think big, and deliver results that impact millions.
At Amazon, you’ll experience:
- A diverse and inclusive culture promoting creativity and innovation.
- Opportunities for professional growth across roles like Amazon Data Associate Jobs or advanced AI and ML positions.
- Access to international exposure through Amazon Dev Center Jobs.
- Continuous learning via training modules, workshops, and mentorship programs.
- A strong sense of ownership and recognition for high performance.
Whether you aim to specialize in Amazon Administrative Support Jobs or transition into technical roles, Amazon provides the flexibility and resources to achieve your goals.
Perks & Benefits
- Competitive salary and annual performance-based bonuses.
- Health, dental, and vision insurance coverage.
- Paid leaves, holidays, and flexible work arrangements.
- Employee discounts on Amazon products and Prime membership perks.
- Career advancement programs and leadership mentorship opportunities.
- Access to AI, ML, and data analytics learning resources.
- Inclusive work environment with accessibility accommodations.
- Global networking opportunities across Amazon’s diverse teams.
Growth Opportunities
Starting your journey with the Amazon Hyderabad Job Openings can pave the way to various career paths within Amazon. Employees in the Data Associate role often progress to Machine Learning Data Associate II, Data Analyst, or AI Operations Specialist positions. Amazon provides a supportive environment that encourages internal mobility and continuous development.
With exposure to cutting-edge AI technologies, you can transition into roles aligned with Amazon Machine Learning Jobs or even move into international Amazon Dev Center Jobs. Therefore, if you are passionate about data, technology, and innovation, Amazon is the right place for you to grow.
How to Apply for Amazon Hyderabad Job Openings
Ready to start your journey as part of the Amazon Hyderabad Job Openings at Amazon? Follow these simple steps to apply:
Prepare your updated resume.
Highlight your most relevant skills, projects, and achievements.
Click the “Apply Now” link below.
Complete the online application form.
Submit your application and await further communication from the recruitment team.
