As an AIML intern in the Failure Analysis team, you will work closely with engineers, data scientists, and cross-functional teams to develop and implement AI and ML solutions aimed at identifying, diagnosing, and predicting product failures. You will be actively involved in various stages of the ML pipeline, from data collection and preprocessing, through exploratory data analysis and feature engineering, to model training, validation, and deployment. Responsibilities include:- Develop and deploy machine learning models and algorithms to diagnose and predict product failures.- Perform data analysis and visualization to extract actionable insights.- Test, validate, and optimize models to ensure high performance and reliability.- Document model development processes and findings, presenting results to stakeholders.- Stay informed about the latest advancements in AIML technologies and apply them to ongoing projects.