If you are a fresher or experienced candidate looking for a strong opportunity, the Amazon Hiring Drive role at Amaz is a great option. Below are complete details about the role, eligibility, and application process.
Job Overview Table
| Job Role | Amazon Hiring Drive |
| Company | Amaz |
| Location | India (Remote/Online) |
| Job Type | Learning Program |
| Experience | Freshers / 0-1 Year |
| Batch Eligible | 2026 / 2027 / 2028 |
| CGPA | 6.0 CGPA or above |
| Backlogs | No active backlogs |
| Gap Year | No year gap allowed |
Why This Role is Worth Considering
- Amazon ML Summer School provides direct mentorship from experienced Amazon Scientists, offering invaluable industry insights and guidance that can significantly accelerate your career growth in machine learning and artificial intelligence domains.
- The program features structured learning modules, practical training exercises, and assessments designed to strengthen your core ML concepts and prepare you for real-world applications in cutting-edge technologies.
- Participants receive exclusive Amazon swag kits, official acknowledgment letters, and networking opportunities with industry professionals, enhancing both professional credibility and personal connections.
- This program is specifically designed for Indian students pursuing undergraduate, postgraduate, or PhD degrees, making it highly accessible and relevant to the target audience seeking opportunities in data science and AI.
- The selection process includes a comprehensive evaluation through resume screening, statement of purpose submission, and a rigorous selection test covering machine learning fundamentals, probability, statistics, and programming skills.
About Amaz
Amazon is one of the world’s most innovative and customer-centric companies, leading the way in e-commerce, cloud computing, digital streaming, and artificial intelligence. With operations spanning across the globe, Amazon has consistently pushed the boundaries of technology and innovation, creating solutions that impact millions of customers daily. The company culture emphasizes innovation, ownership, and customer obsession, encouraging employees to think big and experiment with new ideas. Amazon’s commitment to diversity and inclusion creates a workplace where individuals from all backgrounds can thrive and contribute meaningfully to groundbreaking projects. The organization’s work environment promotes continuous learning, professional development, and collaboration across cross-functional teams. Amazon’s impact extends beyond business success, as the company actively contributes to sustainability initiatives, community development programs, and technological advancement that shapes the future of multiple industries. Working at Amazon means being part of a dynamic ecosystem that values creativity, problem-solving, and making a positive difference in society through technology and innovation.
Key Responsibilities
- Participate in structured machine learning learning modules and practical training exercises designed to build foundational and advanced ML skills.
- Complete assessments and programming challenges that evaluate problem-solving abilities and technical competency in machine learning concepts.
- Engage with Amazon Scientists and industry professionals through interactive sessions and networking opportunities.
- Work on hands-on projects that demonstrate real-world applications of machine learning and artificial intelligence technologies.
- Submit required documentation including resume and statement of purpose as part of the selection and participation process.
Eligibility Criteria
| Criteria | Requirement |
|---|---|
| Degree | Undergraduate, Postgraduate, Engineering, MSc, PhD |
| Branch | All branches with technical background |
| Batch | 2026, 2027, 2028 passing out students |
| CGPA | 6.0 CGPA or above |
| Backlogs | No active backlogs |
Skills Required
- Machine Learning fundamentals including supervised and unsupervised learning algorithms
- Strong mathematical foundation in probability, statistics, and linear algebra
- Programming proficiency in languages such as Python, Java, or C++
- Problem-solving abilities with analytical thinking approach
- Data analysis and interpretation capabilities
- Good communication skills for SOP writing and networking
- Academic excellence with relevant technical coursework
Is This Role Right for You?
- This role is ideal for students passionate about machine learning, artificial intelligence, and data science who want to gain hands-on experience with industry experts.
- Not suitable for candidates without technical background or those who cannot commit to the full program duration and requirements.
- The program is conducted online, making it accessible to students across India without relocation requirements.
- While the program offers valuable learning and networking opportunities, it does not guarantee employment but provides excellent career preparation.
How to Apply
- Click on the official Amazon ML Summer School 2026 apply link provided in the job posting.
- Complete the online registration form with accurate personal and academic details.
- Upload your updated resume highlighting technical skills, projects, and academic achievements.
- If shortlisted, submit your Statement of Purpose (PDF format, 500 words max) as per guidelines.
- Appear for the selection test on June 28, 2026 if you clear the previous rounds.
Career Growth
ML Student → ML Intern → ML Engineer → Senior ML Engineer → Lead ML Scientist
