Tag: Machine Learning Internship

  • Amazon Machine Learning Summer School 2025: Results, Eligibility, Test Pattern, Dates, How to Apply &

    Amazon Machine Learning Summer School 2025: Results, Eligibility, Test Pattern, Dates, How to Apply &

    Amazon’s Machine Learning Summer School 2025 is an excellent opportunity for students in India to gain hands-on knowledge and foundational understanding of core ML concepts. This fully virtual program is designed to help students build a strong ML skillset, learn from leading scientists at Amazon, and prepare for a career in Machine Learning and Artificial Intelligence.

    Below is a comprehensive guide covering all important aspects: eligibility, important dates, application process, selection test details, and frequently asked questions.


    Overview

    Program Name: Amazon Machine Learning Summer School 2025
    Mode: Online (Virtual)
    Duration: August 9 – August 31, 2025
    Application Deadline: July 31, 2025
    Selection Test Date: August 3, 2025
    Shortlisting Announcement: August 7, 2025
    Total Seats Available: 3000 (approximate)


    Why You Should Apply

    • Learn directly from Amazon’s ML Scientists
    • Gain practical and theoretical insights into machine learning
    • Build a strong ML foundation to boost your career
    • No registration or course fee
    • Certificate of completion from Amazon

    Results

    The results for the Amazon Machine Learning Summer School 2025 have been officially announced. All selected candidates have received an email from the organizing team.

    Please check your inbox and also your spam or promotions folder to ensure you don’t miss the communication. Congratulations to everyone who made it!

    Eligibility Criteria

    To be eligible for Amazon ML Summer School 2025, you must:

    • Be enrolled in an engineering undergraduate (BTech/BE), postgraduate (MTech/ME/MS), or PhD program from a recognized Indian institute.
    • Be expected to graduate in 2026 or 2027.
    • Hold a valid college ID and recent semester marksheet.

    Amazon interns (past, current, or incoming) are also eligible to apply.


    Key Dates

    EventDate
    Registration DeadlineJuly 31, 2025
    Selection TestAugust 3, 2025
    Result AnnouncementAugust 7, 2025
    Program StartAugust 9, 2025
    Program EndAugust 31, 2025

    Program Schedule

    The program runs on weekends throughout August 2025. Each day includes a morning module followed by an afternoon Q&A session with Amazon scientists.

    DateTimeEvent
    Aug 909:00 AM – 5:00 PMModule 1 + Live Q&A
    Aug 1009:00 AM – 5:00 PMModule 2 + Live Q&A
    Aug 1609:00 AM – 5:00 PMModule 3 + Live Q&A
    Aug 1709:00 AM – 5:00 PMModule 4 + Live Q&A
    Aug 2309:00 AM – 5:00 PMModule 5 + Live Q&A
    Aug 2409:00 AM – 5:00 PMModule 6 + Live Q&A
    Aug 3009:00 AM – 5:00 PMModule 7 + Live Q&A
    Aug 3109:00 AM – 5:00 PMModule 8 + Live Q&A

    How to Apply – Step-by-Step

    Step 1: Register

    Step 2: Upload Required Documents

    Keep the following ready (all images must be under 1 MB in size):

    1. Front and back side of your college ID card
    2. Latest semester marksheet or transcript
    3. College admission letter (if ID doesn’t mention graduation year)

    Step 3: Attempt the Selection Test

    • Date: August 3, 2025
    • Format:
      • Part A: 20 MCQs on ML basics, probability, statistics, linear algebra
      • Part B: 2 coding questions
      • Duration: 60 minutes
    • A sample test will be shared post-registration

    Step 4: Shortlisting

    • Top 3000 students will be selected based on test performance and document verification
    • Results by August 7, 2025

    What You’ll Learn

    Participants will gain exposure to a variety of topics such as:

    • Supervised and Unsupervised Learning
    • Deep Learning
    • Natural Language Processing (NLP)
    • Computer Vision
    • Data Processing and Feature Engineering
    • Optimization Techniques

    Meet Your Tutors

    Some of Amazon’s top scientists and engineers leading the sessions include:

    • Anil Kumar N (Applied Scientist)
    • Nikita Prabhu (ML Scientist)
    • Philip Schulz (ML Scientist)
    • Dinkar Vasudevan (Sr. Applied Scientist)
    • Gokul Swamy (Sr. Applied Scientist)
    • Mayank Sharma (Applied Scientist)
    • Kartik Mehta (Sr. Applied Scientist)
    • Faizan Ahemad (Applied Scientist)

    FAQs

    Is there a fee to apply?

    No. Amazon ML Summer School is completely free.

    Can I change my test slot?

    No. Once assigned, test slots are fixed.

    What if I accidentally end my test?

    It will be auto-submitted and you won’t get another attempt.

    Is a sample/mock test provided?

    Yes. You’ll receive it via email after completing your registration.

    What if my documents exceed the size limit?

    Use free tools like compressjpeg.com or tinypng.com to reduce file size.

    Are consolidated transcripts accepted?

    Yes, if they show your name, college, and branch clearly.


    Contact Information

    If you face any issues or have questions, email:

    exam-support@scaler.com

  • Amazon Data Scientist Internship 2025 in India: Stipend ₹1 Lakh/Month, Apply Now

    Amazon Data Scientist Internship 2025 in India: Stipend ₹1 Lakh/Month, Apply Now

    Amazon is now accepting applications for its highly sought-after Data Scientist Internship 2025 in India. This is a golden opportunity for students pursuing Computer Science, Engineering, or related fields to work on real-world data problems that impact millions of users. With a generous stipend of ₹1 lakh/month, hands-on experience, and mentorship from top Amazon professionals, this internship is perfect for aspiring data scientists. In this article, you’ll find all the key details—eligibility, locations, application process, stipend, deadlines, and more.


    Internship Overview

    • Position Title: Data Scientist Intern
    • Job ID: 2736671
    • Company: Amazon (AISPL)
    • Internship Type: Full-Time
    • Location Options: Bangalore, Hyderabad, Chennai
    • Application Mode: Online

    Eligibility Criteria

    To be eligible for the Amazon Data Scientist Internship 2025, candidates must:

    • Be at least 18 years of age
    • Be enrolled in a Bachelor’s, Master’s, or Ph.D. program in Computer Science, Engineering, Mathematics, Operations Research, Process Control, or a related field
    • Be available for a full-time internship with no academic conflicts during the internship period
    • Submit a university-approved availability declaration confirming commitment for the full duration of the internship

    Preferred Skills and Qualifications

    Candidates with the following skills will have an edge during the selection process:

    • Proficiency in programming and statistical tools such as R, SAS, Matlab, and SQL
    • Practical knowledge of machine learning and deep learning frameworks like TensorFlow, PyTorch, MXNet, Caffe
    • Familiarity with big data platforms like Apache Spark, Hadoop
    • Experience in data modeling, model validation, cross-validation, deployment, and transformation of large-scale data sets
    • Strong leadership and analytical reasoning to solve business-critical problems

    Internship Responsibilities

    During the internship, you will:

    • Analyze large datasets and apply statistical techniques to solve business problems and improve customer experience
    • Identify trends, predictors, and implement forecasting models
    • Collaborate with multiple teams, offering data-driven solutions
    • Present actionable insights and written business recommendations
    • Work on scalable machine learning models and data-driven decision systems

    Preparing for Amazon? Practice previously asked DSA questions from Amazon interviews!

    Stipend and Benefits

    • Stipend: 1Lac/month (Source: Glassdoor)
    • Additional Perks: Mentorship from Amazon professionals, networking opportunities, certification (on completion), access to internal Amazon learning tools

    Important Guidelines

    • Full-time commitment is mandatory; no parallel internships, courses, or part-time work is allowed during the internship
    • If you have upcoming exams, inform your reporting manager in advance to allow for proper planning
    • Internship dates and duration will be confirmed upon selection and submission of the declaration of availability form

    Application Deadline

    Amazon does not mention a fixed last date, as applications are accepted on a rolling basis. It is advised to apply as early as possible, ideally by August 2025, to maximize your chances of getting shortlisted.


    How to Apply

    1. Visit the official https://www.amazon.jobs/en/jobs/2736671/data-scientist-intern
    2. Click the Apply Now button
    3. Sign in or create an Amazon Jobs account
    4. Fill in the online application form and upload:
      • Updated Resume
      • Academic transcripts (if requested)
      • Availability declaration from your university (if already available)
    5. Submit your application

    How to Fill the Application Form (Step-by-Step)

    • Step 1: Log in to your Amazon Jobs account
    • Step 2: Select the internship position and click on Apply
    • Step 3: Upload your resume (Ensure it highlights your technical skills and academic projects)
    • Step 4: Enter your educational background and GPA
    • Step 5: Provide your availability for the internship
    • Step 6: Answer pre-screening questions (if any)
    • Step 7: Submit the form and check your email regularly for updates

    FAQs

    Q1. Can final-year students apply?
    Yes, final-year students who meet the eligibility criteria and have no academic commitments during the internship can apply.

    Q2. Is remote work allowed?
    Amazon currently expects interns to join from physical locations. Remote flexibility may vary by team.

    Q3. Is it a paid internship?
    Yes, Amazon internships are paid and offer competitive stipends.

    Q4. Can I apply to multiple Amazon internships?
    Yes, you can apply for multiple internships, but ensure your resume and responses are tailored for each role.