AI and Machine Learning - Internship (Part Time)

About the internship:Explore foundational Artificial Intelligence and Machine Learning concepts through Python-based projects and practical assignments.

Selected intern's day-to-day responsibilities include:

1. Explore AI and ML concepts.

2. Prepare datasets.

3. Implement basic machine learning models.

4. Analyse model outputs.

5. Work on practical AI/ML assignments.

6. Document project findings.Who can apply:Only those candidates can apply who:are available for the part time job/internshipcan start the part time job/internship between 2nd Oct'26 and 6th Nov'26are available for duration of 3 monthshave relevant skills and interestsStipend:INR₹ 3,001 - 7,002 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:Python, Machine Learning, Problem Solving, Statistics and Data PreparationAbout Company:Gradtwin is a student-focused organization committed to helping students and fresh graduates build practical skills, gain real-world experience, and explore career opportunities.

We offer internship opportunities across diverse domains, including technology, data, healthcare, marketing, human resources, and business, enabling students to work on real-world projects and develop industry-relevant skills.

At Gradtwin, interns get the opportunity to learn through hands-on experience, collaborate with teams, take on meaningful responsibilities, and strengthen their resumes and professional portfolios. We welcome students, fresh graduates, and aspiring professionals who are eager to learn, contribute, and grow.

Join Gradtwin to learn, gain experience, build your skills, and take your first step toward a successful career.Additional information:

Stipend Structure:

Fixed pay: ₹ 3,000 - 7,000 /month

Incentive pay: ₹ 1 - 2 /month

Responsibilities

Explore foundational Artificial Intelligence and Machine Learning concepts through Python-based projects and practical assignments.

Selected intern's day-to-day responsibilities include:

1. Explore AI and ML concepts.

2. Prepare datasets.

3. Implement basic machine learning models.

4. Analyse model outputs.

5. Work on practical AI/ML assignments.

6. Document project findings.