Machine Learning Intern

Job description

## About the Role SKOOLLAGE is offering a structured Career Launch Internship Program for students and recent graduates to gain practical experience in machine learning and AI. The internship lasts 3 months and is remote, providing mentorship, guided learning resources, and real‑world project exposure. ## Responsibilities - Collect, clean, and preprocess datasets for machine learning projects. - Perform exploratory data analysis to identify patterns and insights. - Assist in feature selection and engineering for models. - Develop, train, and evaluate basic supervised and unsupervised learning models. - Create visualizations to communicate analysis and model results. - Document experiments, methodologies, and findings. - Research emerging machine‑learning techniques and industry best practices. - Collaborate with team members on practical projects. ## Eligibility - Currently pursuing or recently graduated in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field. - Strong interest in machine learning and AI. - Willingness to learn and work on practical projects. ## Required Skills - Basic knowledge of **Python**. - Understanding of **statistics** and **data analysis** concepts. - Familiarity with **Pandas**, **NumPy**, or **Scikit‑learn** (preferred). - Basic understanding of **supervised** and **unsupervised learning** concepts. - Good analytical, problem‑solving, communication, and teamwork skills. ## Perks & Benefits - Internship certificate and performance‑based letter of recommendation. - Swags and goodies. - Opportunity to work on real‑world machine learning projects. - Practical industry exposure and mentorship. - Performance‑based stipend up to **₹7,500**.

Required skills

Compensation