Amazon Walk In 2nd Sept 2022 for Any Graduate Freshers & Experienced

Amazon Walk In 2nd Sept 2022 for Any Graduate Freshers & Experienced. Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA.

Amazon invites Freshers & Experienced, Dynamic & Self-Motivated Professionals  for the below positions at the Hyderabad/Secunderabad location. 

Amazon is recruiting for the accompanying positions:

-ML Data Associate

Refer Notification & all relevant information below. Interested and qualified applicants can attend at scheduled time.

Opportunity subtleties:

Post Name:ML Data Associate

Capability:  Any Graduates

Experienced:0 to 2 years

Salary:2,50,000 - 3,00,000 P.A.

Set of working responsibilities: Amazon Hiring For ML Data Associate !

Significant Details :

Place: Hyderabad/Secunderabad

Walk in Interview Date: 2nd Sept 2022

Time: 10.00 AM - 12.30 PM onwards

Walk In Address:-Amazon Development Centre India Pvt. Ltd, Building No. H03, Avance Business Hub, Phoenix Infocity Private Limited, IT/ITES SEZ, Gachibowli Village, Serilingampally Mandal, Hyderabad, Telangana – 500081

Choice Process: The determination will be based on Interview.

Key job responsibilities:

We are looking for a Data Associate (DA) to undertake the task of foundational labelling functions, such as dialogue evaluation on speech & text data, to assess and improve Alexa's performance in everyday situations.

Basic qualifications

Graduation is Mandate

Mandate Proficiency in English (both written and verbal)

Good typing speed (> 40 wpm and >90% accuracy) and basic troubleshooting abilities.

Work with a range of text, speech and other types of data.

Deliver high-quality labelled data, using guidelines provided to meet our KPIs, and using in-house tools and software.

Report issues with tools and software as and when they occur.

Show Ownership and initiative when providing feedback for improvements to existing tooling that can increase the amount and quality of the data we process - we believe every ground-breaking change starts with a small idea!

Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.