AI ML Intern

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Pre-Placement Offer (PPO):

About The Role

AI Intern

All projects you will contribute to are live business initiatives with real impact, not simulated or capstone assignments. This is a unique opportunity to build a strong AI portfolio and accelerate your career.

• Assist in development and implementation of AI and machine learning models
• Participate in data preprocessing, feature engineering, and model training workflows
• Work with frameworks like TensorFlow, PyTorch, scikit-learn, and libraries for NLP or computer vision
• Help build AI-powered automation and intelligent systems integrating with real datasets
• Conduct experiments to optimize model performance and document findings
• Collaborate with cross-functional teams to deliver AI-driven solutions
• Attend mentorship sessions, sprint meetings, and contribute proactively to projects
• Stay updated with latest AI research trends and apply best practices
  

• Live Project Experience: Hands-on work on production AI projects with measurable business outcomes
• Mentorship: Guidance from skilled AI practitioners and access to advanced learning resources
• Growth Opportunities: Work in a dynamic, supportive environment that fosters skill development
• Portfolio & Resume Boost: Deliver real AI solutions that can be showcased to future employers
• Pre-Placement Offer (PPO): Exceptional performance can lead to a full-time job offer
  

• Pursuing or recently graduated in Computer Science, AI, Machine Learning, Data Science or related fields
• Familiarity with Python programming and common AI/ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Basic understanding of AI concepts such as supervised/unsupervised learning, neural networks, NLP, or computer vision
• Analytical mindset, problem solver, and motivated to learn evolving AI technologies
• Good communication skills and ability to work both independently and in teams
• Portfolio or GitHub repositories showing AI/ML projects is a plus
  

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