The first interview was conducted online and focused primarily on technical questions related to deployed machine learning models. The interviewer asked about real-world implementation challenges, monitoring ML models in production, and strategies for model updates and performance evaluation. The discussion was practical and scenario-based, aimed at understanding hands-on experience with ML deployment pipelines.
