Machine Learning Intern

Afame Technologies

New Delhi, Delhi, IndiaFresher7m agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
Machine learningPython
Nice to have
scikit-learnPandasNumPy
Work
On-site in New Delhi · internship
Pay
Not stated by the employer.
Skill demand
Machine learning91%Python77%scikit-learn34%Pandas21%of 99 similar fresher jobs posted in India this week
Listed
3 Nov 2026 · still open

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About the Role

Afame Technologies is offering a project-based Machine Learning Internship for students and fresh graduates eager to develop practical skills in Artificial Intelligence and Machine Learning. This is a remote, unpaid internship with a flexible duration of 01 - 03 Months. It provides hands-on experience through predefined industry-oriented projects.

Key Responsibilities

  • Complete assigned Machine Learning projects within the specified timeline.
  • Collect, preprocess, and analyze datasets for model development.
  • Develop, train, and evaluate machine learning models.
  • Perform feature engineering and data preprocessing as required.
  • Visualize data and communicate insights using appropriate tools.
  • Document project methodology, findings, and results.

Requirements & Tech Stack

  • Basic understanding of Machine Learning concepts.
  • Familiarity with Python programming.
  • Basic knowledge of libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn is preferred.
  • Understanding of data preprocessing and model evaluation is an added advantage.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and manage time effectively.

Eligibility

  • Students currently pursuing Graduation or Post-Graduation.
  • Fresh Graduates.
  • Candidates interested in building a career in Machine Learning, Artificial Intelligence, or Data Science.

What You'll Gain

  • Practical experience through project-based learning.
  • Hands-on exposure to Machine Learning workflows.
  • Opportunity to build a professional portfolio with industry-oriented projects.
  • Internship Completion Certificate (upon successful completion).
  • Performance-Based Letter of Recommendation (LOR).

You can also send your application at [email protected]

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