Internship, AI Engineer

Requirements

Academic Background

Currently pursuing or recently graduated with a Bachelor's/Master's degree in a relevant field, including Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mathematics, or Statistics. A minimum CGPA of 3.0 on a 4.0 scale is preferred, ensuring strong alignment with AI/ML professional knowledge.

Technical Skills

• Proficiency in Python programming language and familiarity with ML libraries (TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas).
• Basic understanding of core machine learning algorithms (regression, classification, clustering, neural networks) and their applications.
• Knowledge of data preprocessing techniques (data cleaning, feature engineering, normalization, dimensionality reduction).
• Familiarity with version control tools (Git) is a plus.
• Experience with data visualization tools (Matplotlib, Seaborn, Plotly) is preferred.