MACHINE LEARNING INTERNSHIP

Shamgar Software Solutions
  • Full Time
  • 26-Dec-2024
  • Pan India,
  • Start date
    Immediately
  • Duration
    3 Months
  • Stipend
    ₹15000 /month
  • No of Credits
    4
  • Apply by
    24-Dec-2025
  • Full Time

About the program

We are seeking a passionate and dedicated Machine Learning Intern to join our team. As an intern, you will work on realworld projects, exploring machine learning algorithms, data preprocessing, and predictive modeling. This role provides an excellent opportunity to learn and grow in the rapidly evolving AI domain. Responsibilities: Develop and implement machine learning models. Perform data analysis, preprocessing, and feature engineering. Collaborate with crossfunctional teams to deliver AIdriven solutions. Requirements: Proficiency in Python and libraries like TensorFlow, PyTorch, or scikitlearn. Familiarity with data visualization tools Matplotlib, Seaborn. Knowledge of statistics and probability.

Perks

15000

Who can apply?

Only those candidates can apply who:

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

Terms of Engagement

Initial Training Selected candidates will undergo an initial training program to familiarize themselves with the tools, technologies, and workflows necessary for the internship. Stipend on Successful Completion A stipend will be provided to interns upon the successful completion of the internship based on their performance and contribution. Certificate for Normal Performance Interns who demonstrate basic performance and complete the required internship tasks will be awarded a Certificate of Completion as recognition of their efforts. Evaluation Criteria Performance during the internship will be assessed based on the quality of work, consistency, learning attitude, and adherence to deadlines. Code of Conduct Interns are expected to maintain a professional attitude, ensure confidentiality, and follow the organization guidelines throughout the internship period.

Number of openings

30

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