Internship Description
MACHINE LEARNING INTERNSHIP
TechieHelp
- Full Time
- 04-Feb-2026
- Pan India,
-
Start date
Immediately -
Duration
2 Months -
Stipend
₹0 /month -
No of Credits
10 -
Apply by
28-Feb-2026
About the program
Machine Learning Internship is designed to provide students with practical exposure to real world data driven problem solving. This internship focuses on building strong fundamentals of machine learning concepts and their implementation using Python and industry relevant tools. During the internship interns will learn about data preprocessing data analysis supervised and unsupervised learning algorithms model training and evaluation. Interns will work on guided tasks and mini projects to understand how machine learning is applied in real scenarios. The internship is completely learning oriented and aims to enhance technical skills problem solving ability and project based learning. Mentorship and guidance will be provided by experienced professionals. Interns will be evaluated based on task completion learning progress and final project submission. This internship does not charge any fee from students. No placement or stipend related commitments are promised unless explicitly mentioned separately. Certificate of completion will be provided to interns who successfully complete all assigned tasks and assessments. This internship is suitable for students who want to build a strong foundation in machine learning and prepare themselves for future academic or industry opportunities.
Perks
Certificate of Completion Hands on Project Experience Mentorship and Guidance Skill Development Career Oriented Learning
Who can apply?
Only those candidates can apply who:
- are from Any
- and specialisation from Any
- are available for duration of 2 Months
- have relevant skills and interests
Terms of Engagement
This is a learning based internship. Interns must complete assigned tasks projects and assessments within the given timeline. No fees are charged from students. Internship completion certificate will be issued only after successful evaluation.
Number of openings
10