Amazon ML Data Associate Internship 2024 for Freshers in Chennai
Amazon is seeking passionate individuals to join their AI and Machine Learning (ML) team as ML Data Associate-II in Chennai. This Amazon Job role is an excellent opportunity for freshers to work directly with AI technologies and contribute to transformative projects across various data types. If you’re ready to be part of the future of human-technology interaction and possess an analytical mindset, Amazon’s ML Data Associate-II role in Chennai might be your perfect start. Seize this job in Chennai for freshers to shape the future and grow in an environment that values innovation and integrity.
Amazon Recruitment Overview:
Company Name: Amazon
Role: ML Data Associate-II
Location: Chennai, Tamil Nadu, India
Experience Level: Freshers (0-2 years)
Eligible Batch: 2018, 2019, 2020, 2021, 2022, 2023, 2024
Job Type: Full-time, Onsite
Salary: INR 3 – 5 LPA (Expected)
Amazon Data Associate Job Description:
As an Amazon Data Associate, you will work on foundational labeling functions to support Amazon’s AI projects, focusing on data across multiple formats, such as text, audio, and video. Your work will directly impact AI model performance, helping to develop and deploy safe and effective AI technologies.
Roles & Responsibilities in Data Science Job for Freshers:
- Uphold confidentiality and handle various data types, including text, audio, and video.
- Use Amazon’s proprietary tools to label data, ensuring accuracy and adherence to KPIs.
- Act as a subject matter expert on ML data workflows, managing tasks independently.
- Evaluate data with analytical and critical thinking skills, making sound decisions.
- Adapt to different labeling workflows and demonstrate precision in all tasks.
- Conduct root cause analysis, identifying solutions for process improvements.
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Key Data Scientist Skills Required for Amazon Chennai Job:
- Strong attention to detail with the ability to work independently and in a team.
- Excellent research skills and the ability to understand diverse subjects.
- Adaptability to dynamic work environments with changing priorities.
- Ownership and dedication to meeting daily goals and deadlines.
- Proficiency in computer operations, with a typing speed of over 50 WPM.
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Eligibility Criteria for Amazon Vacancy of Machine Learning Engineer Job:
Degree: Bachelor’s or Master’s degree in any field, with 0-2 years of experience.
Freshers from the 2018, 2019, 2020, 2021, 2022, 2023, and 2024 batches are eligible to apply for this Job.
Job Location: Chennai, Tamil Nadu, India
Find the Latest Job & Internships alert for: Chennai
Perks and Benefits of Amazon Job Opening:
- Opportunities to work with cutting-edge AI technologies.
- Collaborative and diverse work environment.
- Access to Amazon’s comprehensive benefits package, including healthcare.
Career Growth Opportunities:
- Advancement to roles such as ML Data Specialist or Data Scientist.
- Opportunities to specialize in AI domains, like NLP or Computer Vision.
Salary in ML Data Associate Job at Amazon India:
The estimated Salary in ML Data Associate Job at Amazon is around INR 3 to 5 Lakhs Per Annum (LPA).
Application Process for Amazon Job Vacancy in Chennai for Freshers:
To apply or for more information regarding Data Scientist Job for students, visit the Amazon careers page from the link below to submit your application.
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FAQ:
What is the primary responsibility of the ML Data Associate-II?
You will focus on labeling data for AI models, handling various data types, and ensuring accuracy.
Is prior experience in AI required?
No, freshers are welcome, though familiarity with AI and ML is a plus.
Q: What Exactly does Amazon do?
Amazon is a global leader in e-commerce, cloud computing, and AI, with a strong focus on innovation. Amazon India supports numerous sectors, from retail to advanced technology, constantly aiming to enhance customer experience. Through initiatives like Alexa and Echo devices, Amazon is at the forefront of AI advancements, transforming how people interact with technology in India and worldwide.
