Artificial Intelligence & Machine Learning Intern

About the Role

Artificial Intelligence & Machine Learning Intern

Key Responsibilities

• Collect, clean, and preprocess datasets.
• Perform exploratory data analysis.
• Develop and evaluate machine learning models.
• Implement classification and regression algorithms.
• Work with real-world datasets.
• Experiment with AI and ML techniques.
• Document models, results, and project findings.
• Work under mentor guidance on real-time AI projects.

Requirements & Tech Stack

• Basic knowledge of Python.
• Understanding of mathematics and statistics is preferred.
• Basic knowledge of machine learning concepts.
• Familiarity with NumPy, Pandas, and Matplotlib.
• Knowledge of Scikit-learn or TensorFlow/PyTorch is an advantage.
• Analytical and problem-solving skills.

Preferred Technologies: Python, NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, OpenCV.

Learning Outcomes: Interns will gain practical experience in data preprocessing, machine learning algorithms, model training, evaluation, feature engineering, and AI project development.