Any Graduate Freshers & Experienced Walk In 5th Nov 2022 At Amazon

Any Graduate Freshers & Experienced Walk In 5th Nov 2022 At Amazon. 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 invites Freshers & Experienced Dynamic & Self-Motivated Professionals  for the below positions at the Hyderabad/Secunderabad location. Job Openings for Any Graduates.

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.

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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:5th Nov 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

Related Job:B.pharma,M.pharma,M.sc Graduates Walk In 6th Nov 2022 At Jodas Expoim

Choice Process: The determination will be based on Interview.

Set of working 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.

Key job responsibilities

• 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.