AI-Driven Content Personalization for Podcast Discovery

As the podcast industry continues to expand rapidly, listeners are often overwhelmed by the vast array of content available. Our startup aims to tackle this problem by leveraging AI & Machine Learning to create a personalized podcast discovery platform. We are looking for an experienced freelancer to develop an AI-driven system that utilizes natural language processing (NLP) to analyze listener preferences and behavior patterns. The system will integrate with popular podcast platforms and use state-of-the-art technology such as the OpenAI API and Hugging Face for NLP tasks. The goal is to deliver highly personalized podcast recommendations, improving listener satisfaction and engagement. Key responsibilities include developing a robust AI model using TensorFlow or PyTorch, implementing predictive analytics for user behavior forecasting, and ensuring seamless integration with podcast platforms. The ideal candidate will have experience with language models, AutoML, and edge AI deployment.