Machine Learning Intern | Entry Level | Fresher | Python, ML, Scikit-learn, SQL | Remote

Job description

## About the Role Skillzenloop is offering a full‑time remote internship for freshers and recent graduates who want to dive into the end‑to‑end machine‑learning workflow. You will get hands‑on experience building, training, and evaluating models using Python and popular libraries while working on real‑world datasets. ## Key Responsibilities - Prepare, clean, and explore datasets for machine‑learning tasks. - Apply data‑preprocessing techniques and split data into training and testing sets. - Develop basic supervised and unsupervised models using Scikit‑learn. - Experiment with different algorithms, evaluate performance metrics, and document results. - Assist with feature selection, basic feature engineering, and error analysis. - Present findings to the team and maintain experiment logs. ## Required Qualifications & Skills - Fundamental knowledge of Python programming. - Understanding of core machine‑learning concepts and common algorithms. - Familiarity with Pandas, NumPy, and SQL for data manipulation. - Basic skills in data preprocessing, model evaluation, and mathematical reasoning. - Strong problem‑solving and analytical abilities. ## What You’ll Learn & Benefits - Complete ML project lifecycle from data preparation to model deployment. - Hands‑on experience with Scikit‑learn, Jupyter/Colab notebooks, and visualization tools. - Exposure to real‑world datasets and Kaggle‑style projects to boost your portfolio. - Mentorship and guidance to help you start a career in AI, Data Science, or ML Engineering. - Remote work flexibility with a monthly stipend of ₹16,500.

Required skills

Compensation