Description:
Build, train, and evaluate machine learning and deep learning models for classification, regression, clustering, and recommendation tasks.Apply NLP, computer vision, generative AI, or reinforcement learning where appropriate.Conduct exploratory data analysis (EDA), feature engineering, and data preprocessing.Collaborate with data engineers, software developers, and business stakeholders to understand problems and deliver production-grade models.Continuously monitor and improve model performance
May 8, 2025;
from:
dice.com