Machine Learning Intern

Future Interns

IndiaFresher2h agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 1 year
Must know
Python
Nice to have
Machine learningscikit-learnPyTorchTensorFlow
Work
On-site in India · internship
Pay
Not stated by the employer.
Skill demand
Machine learning80%Python70%PyTorch42%scikit-learn33%of 99 similar fresher jobs posted in India this week
Listed
31 Oct 2026 · still open

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Company: Future Interns

Location: Remote – India

Duration: 1 Month

Start Date: October 2026

Compensation: Unpaid

Position Overview

Future Interns is seeking a Machine Learning Intern to support assigned machine learning and data-related projects during October 2026. The position is intended for students and recent graduates who understand fundamental machine learning concepts and have some familiarity with Python. Interns will assist with data preparation, experimentation, model evaluation, and technical documentation.

Key Responsibilities

  • Prepare datasets for assigned machine learning tasks.
  • Assist with data cleaning and preprocessing.
  • Support feature engineering activities.
  • Implement baseline models under guidance.
  • Compare model results using appropriate evaluation methods.
  • Analyze model outputs and document observations.
  • Maintain records of experiments and relevant configurations.
  • Investigate basic data or model issues identified during project work.
  • Assist with testing alternative approaches.
  • Communicate findings and technical questions to mentors or project members.

Requirements & Tech Stack

  • Basic understanding of machine learning concepts.
  • Familiarity with Python.
  • Understanding of basic data preprocessing.
  • Familiarity with common model evaluation concepts.
  • Analytical and problem-solving skills.
  • Ability to document technical work clearly.

Preferred Qualifications

  • Familiarity with Scikit-learn.
  • Exposure to TensorFlow or PyTorch.
  • Knowledge of NumPy and Pandas.
  • Understanding of basic regression and classification.
  • Academic or personal machine learning projects.

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