Machine Learning Intern, application via RippleMatch

Requirements

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, Artificial Intelligence, or a related field.
• Strong foundation in machine learning concepts, algorithms, and applications.
• Proficiency in programming languages commonly used in machine learning such as Python, R, or Julia.
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Knowledge of data management and visualization tools.
• Ability to preprocess data, choose appropriate models, train models, and evaluate their performance.
• Strong mathematical background, especially in statistics, probability, and linear algebra.
• Good organizational and project management skills, with the ability to handle multiple tasks and complex projects.
• Effective communication and interpersonal skills, essential for working collaboratively in a research or development team.
• Eagerness to learn new techniques and stay updated with the latest advancements in the field of machine learning.