Key Responsibilities
- Mine and process large datasets using modern tools and programming languages to extract actionable insights
- Develop, train, and evaluate machine learning models under the guidance of senior data scientists
- Perform data wrangling, feature engineering, and offline evaluation to improve model performance
- Collaborate with ML engineers and data scientists to contribute to continuous learning and knowledge sharing
- Leverage AI-powered tools to enhance workflows and generate deeper business insights
- Own at least one major area of responsibility throughout the 6-month internship, with potential rotation opportunities
Requirements
- Strong foundational understanding of machine learning fundamentals and core concepts
- Hands-on experience solving problems using machine learning and deep learning techniques
- Proficiency in Python, SQL, and common ML frameworks (e.g., TensorFlow, Keras, Scikit-learn)
- Diligent and analytical mindset with excellent communication and teamwork skills
- Relevant coursework in quantitative fields such as Computer Science, Mathematics, or Statistics