Kickstart your career with Amazon’s Applied Scientist Internship 2025! This is an exceptional opportunity for current students and recent graduates passionate about Machine Learning (ML), Natural Language Processing (NLP), Deep Learning, and Computer Vision to solve real-world challenges. With this Internship in Bangalore, Hyderabad, and Chennai, join Amazon’s innovative teams to develop cutting-edge AI solutions that impact millions of customers globally.

Amazon Recruitment 2025 Overview
| Company: Amazon | |
| Role: Applied Scientist Intern | Experience Level: Freshers |
| Location: Bangalore, Hyderabad, Chennai | Eligible Batch: 2024, 2025, 2026 |
| Job Type: Internship | Salary/Stipend: ₹60,000 PM (Expected) |
Amazon Applied Scientist Job Description
As an Applied Scientist Intern at Amazon, you’ll develop state-of-the-art ML/NLP algorithms using massive datasets to solve unprecedented real-world problems. You’ll collaborate with industry-leading researchers in fast-paced teams, deliver prototypes for customer-facing products, and drive innovation in industrial AI applications.
Key Responsibilities in Applied Scientist Internship:
- Design and implement ML/NLP/Computer Vision models using large-scale datasets.
- Translate complex business requirements into actionable technical solutions.
- Collaborate with cross-functional teams to deploy research into production systems.
- Contribute novel ideas through pragmatic problem-solving and iterative prototyping.
- Stay updated with advancements in AI/ML research and integrate them into projects.
Required Skills & Qualifications
AI Skills Required for Amazon Summer Internship:
- Proficiency in Python, C/C++, Java, or Perl.
- Strong foundation in statistical modeling, ML algorithms, and data analytics.
- Experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch).
- Ability to thrive in fast-paced, ambiguous environments.
- Excellent analytical and multitasking capabilities.
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Eligibility Criteria for Machine Learning Internship:
Education: Pursuing/completed M.Tech, M.S., or PhD in Computer Science, Machine Learning, Robotics, Statistics, Mathematics, or related fields.
Fresher graduates from the 2024, 2025 or 2026 batches are eligible to apply.
Internship Location: Bangalore, Hyderabad, Chennai, India
Perks and Benefits of Amazon Internship:
- Work alongside pioneers in AI/ML research.
- Inclusive culture supporting diverse perspectives.
- Networking opportunities with global tech leaders.
- Workplace accommodations for candidates with disabilities.
Career Growth Opportunities
- Potential for advancement to roles like Applied Scientist or Research Scientist based on performance and requirements.
- Specialization in high-demand domains like NLP, Computer Vision, or Large-Scale Data Analytics.
Stipend in Applied Scientist Internship at Amazon India:
It’s a paid internship with an estimated Applied Scientist Intern Salary/Stipend at Amazon is around INR 60,000 Per Month (PM).
How to Apply for the Amazon Internship for Freshers:
To apply or for more information regarding AI ML internship for students, visit the Amazon career page using the following link.
Application Deadline: Rolling basis (apply early).
Explore Similar Opportunities:
| Company: Amazon | Job Type: Internship |
| Location: Bangalore | Hyderabad |
| Chennai | M.Tech |
| M.Sc | PhD |
| Computer Science, IT | Machine Learning |
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Frequently Asked Questions (FAQ)
(Q1) Can Bachelor’s students apply for this internship?
(A1) No, this role requires Master’s/PhD students or graduates in quantitative fields (e.g., Computer Science, ML, Statistics).
(Q2) What programming languages are mandatory?
(A2) Proficiency in Python, C/C++, Java, or Perl is essential.
(Q1) Can 2024 graduates apply?
(A1) No, only currently enrolled Master’s/PhD students qualify due to university documentation requirements.
What exactly does Amazon do?
Amazon is a global leader in e-commerce, cloud computing (AWS), digital streaming, and AI. In India, it drives innovation through tech hubs focused on ML, voice assistants (Alexa), and logistics optimization, serving millions of customers while empowering startups via AWS.



