AI / Machine Learning Intern

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Skills you'll use

What you'll do

• Prepare datasets and engineer features for ML models
• Train, tune and evaluate models for accuracy and robustness
• Prototype AI solutions across prediction, NLP and vision
• Collaborate with engineers to deploy models
• Document methodology, experiments and results
• Document work clearly and act on feedback

Who can apply

• Pursuing or recently completed a relevant degree/diploma
• Foundational knowledge of Python, Machine Learning, Deep Learning, TensorFlow
• Strong communication skills and a proactive attitude
• Ability to work in a team and meet deadlines
• Based in or open to working from Hyderabad

Perks & benefits

Interview & selection process

4 rounds — typical selection flow for this role:

1. 1The selection process for the AI / Machine Learning Intern at Google is structured, merit-based and typically involves 4 evaluation rounds followed by an HR discussion (about 5 stages in total): Round 1: Online Application & Resume Screening — apply through the verified link on this page; profiles are shortlisted on fundamentals and fit Round 2: Online Assessment / Aptitude — a test covering machine learning fundamentals, aptitude and basic Python Round 3: Technical / Skills Interview 1 — core fundamentals: Python, Machine Learning, Deep Learning and problem-solving Round 4: Technical Round 2 / Case or Task Discussion — a hands-on task, case or project deep-dive with the team Round 5: HR Discussion — role expectations, stipend, start date and offer The process assesses your fundamentals, problem-solving ability and communication rather than rote knowledge. There are no charges at any stage. Shortlisted candidates are contacted through the official careers channel after they apply via the link on this page.

About Google

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