Description
AWS Applications and Higher Level Abstractions (Apps) provides horizontal and industry vertical applications for business users with the same on-demand scalability, reliability, pay-as-you-go pricing, and machine learning expertise that drive AWS services. The AWS Applications group includes services such as Amazon Connect (a cost-effective cloud contact center), our End User Computing (including Amazon Workspaces, AppStream, etc.), Marketing Tech (Amazon Pinpoint), and Autonomous Checkout and Biometric Identity Services (Just Walk Out, Amazon One) for retail, sports, travel, and other verticals.
Amazon Physical Stores is more start-up than big-company, a group of entrepreneurial, perceptive, and creative leaders with innovation at our core. We're pushing the state of the art in helping customers shop in engaging, fast, and safe ways. To date we've created stores that let you use an app to enter, take what you want from our fresh selection, and go (Amazon Go); a smart shopping cart that uses computer vision algorithms and sensor fusion to let you skip the checkout line (Amazon Dash Cart); and contactless services that let you pay, enter or identify yourself (Amazon One). CXQO Machine Learning Data Operations associates support the backend non-technical operation of Amazon Go Stores.
Key job responsibilities
- Perform data collection tasks related to an Amazon device, application, or service.
- Execute tasks assigned to you on a daily basis by adhering to Standard Operating Procedures (SOPs) and predefined guidelines.
- Participate in process improvement to increase the quality, efficiency, and accuracy of your teams processes.
- Partner with your team manager when your work is delayed or blocked due to technical issues.
- Report issues with tools and software to the development team when necessary.
- Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.
About The Team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Bachelor's degree
- Knowledge of Microsoft Office products and applications
- Speak, write, and read fluently in English
Preferred Qualifications
- Ability to work any shift including: nights, weekends and holidays.
Company - Amazon Dev Center India - Hyderabad
Job ID: A2835762
