Machine Learning - Internship (Part Time)

About the internship:Gain practical exposure to machine learning concepts using Python. Interns will work with datasets, data preparation, model development, and introductory machine learning projects.

Selected interns' day-to-day responsibilities include:

1. Preparing and cleaning datasets for machine learning models

2. Exploring and understanding different machine learning algorithms

3. Training basic machine learning models using Python

4. Evaluating model performance and analysing results

5. Analysing datasets to identify patterns and insights

6. Working on introductory machine learning projectsWho can apply:Only those candidates can apply who:are available for the part time job/internshipcan start the part time job/internship between 23rd Sep'26 and 28th Oct'26are available for duration of 3 monthshave relevant skills and interests* Women wanting to start/restart their career can also apply.Stipend:INR₹ 3,000 - 7,000 lump sumDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:Python, Machine Learning, Statistics, NumPy and PandasAbout 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.

Responsibilities

Gain practical exposure to machine learning concepts using Python. Interns will work with datasets, data preparation, model development, and introductory machine learning projects.

Selected interns' day-to-day responsibilities include:

1. Preparing and cleaning datasets for machine learning models

2. Exploring and understanding different machine learning algorithms

3. Training basic machine learning models using Python

4. Evaluating model performance and analysing results

5. Analysing datasets to identify patterns and insights

6. Working on introductory machine learning projects