Machine Learning Intern (Work From Home)
Remote · Full Time internship
1 applicant
- Stipend
- Stipend: INR 10,000 – INR 20,000 / month
- Duration
- 3 months
- Start
- Immediately
- Openings
- 4
Candidates must be available for remote work, able to start between 30th Jun'26 and 4th Aug'26, and commit to the 3-month internship. Applicants should have relevant skills and interest in machine learning. Women wanting to start or restart their career may also apply.
- Work mode
- Work from home
- Resume
- Required to apply
About the internship
About the internship
This remote internship is a chance to build practical experience in machine learning while working with a team that develops cloud-based website and application solutions. The role is intended for someone eager to learn, contribute to real projects, and grow by collaborating with experienced professionals.
What you will do
- Help build and refine machine learning models.
- Work with data to uncover insights that can improve model quality.
- Partner with other teams to fit ML solutions into current systems.
- Keep track of new developments, methods, and trends in machine learning.
- Take part in idea-generation sessions and contribute solutions.
- Support model testing and help diagnose issues in ML algorithms.
- Explain results, observations, and suggestions clearly to stakeholders.
Who can apply
This opportunity is open only to candidates who can work from home, are able to begin between 30th Jun'26 and 4th Aug'26, and can commit to a 3-month duration. Applicants should have relevant skills and a genuine interest in the field. Women who want to start or restart their careers are also encouraged to apply.
Stipend
The internship offers a monthly stipend of INR 10,000 to 20,000.
Perks and work setup
Interns will receive a certificate, a letter of recommendation, flexible working hours, and a 5-day workweek.
Additional details
The application deadline is 2026-07-30 23:59:59.
The organization is described as a managed cloud hosting platform that helps teams build, deploy, scale, and manage websites and applications.