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Student Outreach Program

Eligibility Criteria:

  • Graduate or Undergraduate students currently enrolled in top-tier colleges and universities, pursuing full-time degree course (B.E, B.Tech, M.E, M.Tech) in Computer or Information Technology, or related Science & Engineering field
  • High-school students are welcome to apply if they have demonstrated strong programming & technical skills in any of the following areas
  • Comfortable with programming in Python & Jupyter Notebook environment (please mention a link to your GitHub profile in the application with few coding samples)
  • Knowledge or prior experience in Deep-Learning & Machine Learning platforms, like Scikit-Learn, Tensorflow, PyTorch, Keras
  • Experience deploying projects on cloud platforms (e.g. AWS or Google), and creating Web Services using REST APIs
  • Experience building Android / iOS mobile apps
  • Some coursework in AI / ML & Data Science field is preferred


  • Internship: 6-8 weeks (during summer or winter vacations)
  • Final Year Projects: 3-6 months


  • Build your career profile with impressive demos and prototypes
  • Learn and apply cutting-edge technologies in the field of –
    • Artificial Intelligence
    • Machine Learning
    • Deep Learning
    • Computer Vision
    • Image Processing
    • Video Analytics
    • Multimedia & Entertainment Technology
  • Certificate of Completion and Experience Letter is presented upon successful completion of the given project and tasks
  • Option to work remotely for candidates who are residing outside of Bangalore
  • Interns who perform exceptionally well on their projects are automatically considered for full-time positions

How to Apply:

Please send your updated CV to []

Tips for Writing a winning CV:

  • Languages and environments you are comfortable programming in, e.g. Mac OS, Linux, Python, Jupyter Notebook, Android / iOS
  • Tools and libraries you have experience working with, e.g. OpenCV, TensorFlow, PyTorch, Keras, Alexa, AWS etc.
  • Link to public GitHub profile with well-written coding samples
  • Academic performance – grades, scores, ranks
  • Special achievements, recognitions and awards
  • Extra-curriculum: participation in hackathons and technical conferences