Amazon Walk-in Drive in Chennai -2024 | Apply Right Now!

Amazon is a global e-trade and era company, acknowledged for its massive online marketplace, cloud computing services (AWS), and improvements in synthetic intelligence, logistics, and virtual streaming. Amazon Walk-in Drive in Chennai, Founded in 1994 by Jeff Bezos, Amazon has grown to serve millions of customers globally, offering products and services ranging from books and electronics to groceries and clever home devices. The employer focuses on customer-centricity, constantly innovating to decorate the shopping enjoy and streamline offerings. With a various business portfolio, the Company is likewise a pacesetter in cloud offerings, enjoyment (Prime Video), and smart technology (Alexa).

• • Job Role: ML Data Associate
    
  • Company: Amazon
  • Degree: Bachelor’s Degree
  • Location: Chennai, Tamil Nadu – India
  • Employment Type: Full-Time, Permanent
  • Experience: 1 – 2 years
  • Role Category: AWS Machine Learning
  • Industry Type: E-Commerce
  • Work Mode: Offline

Amazon Walk-in Drive in Chennai:-

The ML Data Associate at Amazon plays an essential position in enhancing system learning (ML) models through managing information annotation, labeling, and analysis. You will collaborate with ML scientists and engineers to ensure notable information is to be had for version schooling and validation. This access-degree role focuses on data accuracy, consistency, and contribution to numerous AI/ML projects.

Role & Responsibilities:-

1. Annotate and label statistics for machine learning fashions, together with textual content, audio, pix, and video.
2. Ensure accuracy and consistency in facts tagging to support version education.
3. Review and validate data units to enhance model performance.
4. Work carefully with ML scientists to recognize the requirements for statistics annotation.
5. Identify developments in facts labeling that can affect the excellence of machine learning models.
6. Use equipment and tactics to control huge datasets successfully.
7. Provide feedback on manner enhancements and advocate automation solutions.
8. Conduct pleasant management and audits on information to ensure compliance with mounted guidelines.

Qualifications:-

• Bachelor’s diploma or equivalent enjoyed in an applicable area (e.g., pc science, linguistics, information, or a related subject).
• Strong interest in detail and capacity to perform repetitive duties effectively.
• Basic know-how of machine studying concepts.
• Proficiency in English with terrific conversation capabilities (written and verbal).
• Familiarity with facts annotation tools and revel in running with large datasets is a plus.
• Ability to work independently and in groups, handling time efficiently.

Key Skills Required:- 

• Analytical and problem-solving skills.
• Familiarity with information evaluation and nice warranty tactics.
• Ability to paint with complex and repetitive obligations whilst maintaining excessive accuracy.
• Basic technical competencies, which include information on record codecs and records systems.

Benefits of operating at Amazon:-

1. Competitive earnings with overall performance-primarily based bonuses
2. Comprehensive health, dental, and vision coverage
3. Paid days without work (PTO), such as holidays and sick go away
4. Retirement financial savings plan with organization match
5. Access to employee wellness packages and intellectual health assist
6. Discounts on Amazon products and services
7. Flexible painting arrangements and work-life balance initiatives
8. Opportunities to paintings on innovative initiatives and technologies

Why Join Amazon?

Joining Amazon gives the threat to be part of an international leader in e-commerce, cloud computing, and technology innovation. Amazon presents dynamic work surroundings in which personnel are encouraged to suppose large, innovate, and force change. With possibilities to paint on present-day tasks, gain from complete training and career improvement, and be a part of a numerous and inclusive subculture, the Company supports each professional growth and private well-being.

Conclusion:-