As an Applied Machine Learning Intern, you will work on real-world recommendation systems and contribute to the development of production-level AI models. Your responsibilities include:
Model Development: Design, implement, and optimize machine learning algorithms for personalized recommendation systems, focusing on collaborative filtering, content-based filtering, and hybrid approaches.
Data Processing: Clean, preprocess, and analyze large-scale user interaction datasets to extract meaningful features and improve model performance.