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Amazon Off Campus Drive 2024 | Freshers | 100 Openings

by Jyostna Biradar
August 20, 2024
0

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  • Amazon Off Campus Drive 2024 | Freshers | ML Data Associate – I | BE/ B.Tech – All Engineering Streams; B.Sc/ BCA | 2023/ 2024 Batch | Bangalore, Chennai
  • 🚀 Join the Enggwave Community!

Amazon Off Campus Drive 2024 | Freshers | ML Data Associate – I | BE/ B.Tech – All Engineering Streams; B.Sc/ BCA | 2023/ 2024 Batch | Bangalore, Chennai

Company: Amazon Development Centre (India) Pvt Ltd Amazon Off Campus Drive 2024: At Amazon, our vision is to be Earth’s most customer-centric company; to build a place where people can come to find and discover virtually anything they want to buy online. With Amazon.in, we endeavour to build that same destination in India by giving customers more of what they want – vast selection, low prices, fast and reliable delivery, and a trusted and convenient online shopping experience – and provide sellers a world-class e-commerce platform.

Amazon Off Campus Drive 2024We are committed to ensure 100% Purchase Protection for your shopping done on Amazon.in so that you can benefit from a safe and secure online ordering experience, convenient payment options such as cash on delivery, easy returns and enjoy a completely hassle free online shopping experience.

Company Website: www.amazon.in

Position: ML Data Associate – I

Total Posts: 100

Experience: Freshers (0 – 1 Years)

Job Location: Bangalore, Chennai

Salary: Best In Industry

Eligibility Criteria for Amazon Off Campus Drive 2024:

  • Basic qualifications
    • Bachelor’s degree (BE/ B.Tech – All Engineering Streams; B.Sc/ BCA)
    • Knowledge of Microsoft Office products and applications
    • Speak, write, and read fluently in English

    Preferred qualifications:

    • Passion for language, linguistics, human language technology and AI.

Key job responsibilities:

  • Build a thorough understanding of data collection and annotation guidelines and various annotation tools.
  • Annotate text data, identify linguistic categories based on detailed annotation and adhere to guidelines.
  • Perform annotation-related tasks; you participate in data generation, collection and quality assurance tasks.
  • Diving deep into issues and implementing solutions independently
  • Collaborate with ML Data Associates (L3) and Team Managers (TMs) to deliver high-quality data annotations

About Team: The Bedrock team is a team of data linguists and associates who primarily support training different models in the AWS generative AI platform. We are specialized in text-based data annotation, writing for ML model training, and toxic content evaluation. Some of the aspects of ML development that the Bedrock team works with include Responsible AI, Reinforcement Learning from Human Feedback, Supervised Fine Tuning, and Human Content Evaluation. Our team represents a great array of experience in linguistics, including sociolinguistics, computational linguistics, conversation analysis, syntax-semantics, linguistic typology, ESL and foreign languages, and translation.

How to Apply for Amazon Off Campus Drive 2024?

Eligible candidates may apply online as soon as possible.

Apply Links: Bangalore and Chennai

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Jyostna Biradar

Jyostna Biradar

Senior Career Expert and Co Founder of EnggWave. Since 2010, Jyostna has been helping India’s engineering freshers find their dream roles through verified job updates and expert interview guidance. 15+ years of experience. 100% human-verified content.

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