ARTIFICIAL INTELLIGENCE & PREDICTIVE MODELING INTERN

INNOVATE
  • Virtual Internship
  • 18-Jun-2025
  • Pan India,
  • Start date
    Immediately
  • Duration
    16 Weeks
  • Stipend
    ₹6500 /month
  • No of Credits
    3
  • Apply by
    18-Jun-2026
  • Virtual Internship

About the program

We are offering a dynamic internship opportunity for students and aspiring professionals who are passionate about Artificial Intelligence and Predictive Modeling. This internship is designed to provide handson experience in building intelligent systems that analyze data, recognize patterns, and make datadriven predictions. Interns will work on realworld projects involving supervised and unsupervised learning techniques, model training, and evaluation using industrystandard tools and frameworks.

Perks

Open to students and recent graduates from Computer Science, Engineering, Data Science, or related fields Basic understanding of Python programming and foundational knowledge in statistics or mathematics Enthusiasm to learn and explore new tools in AI and machine learning Ability to work independently and in a team-based environment

Who can apply?

Only those candidates can apply who:

  1. are from Any
  2. and specialisation from Any
  3. are available for duration of 16 Weeks
  4. have relevant skills and interests

Terms of Engagement

Assist in the development and deployment of AI models for classification, regression, and clustering tasks Analyze datasets to identify meaningful trends and extract features relevant for prediction Implement predictive models using Python libraries such as Scikit-learn, TensorFlow, or PyTorch Participate in the end-to-end machine learning lifecycle including data preprocessing, model training, testing, and optimization Document model performance and contribute to improving accuracy and efficiency Collaborate with mentors and team members in brainstorming sessions and technical discussions Gain exposure to version control systems and collaborative tools such as Git and Jupyter Notebooks

Number of openings

4