Top MLOps Skills Data Scientists Should Learn in 2025
Top MLOps Skills in 2025, the role of data scientists is rapidly evolving beyond model development and experimentation. As machine learning (ML) systems increasingly move into production environments, the demand for MLOps (Machine Learning Operations) expertise is growing across industries. MLOps combines software engineering, DevOps, and data science approaches to automate and streamline the whole machine learning lifecycle, from data preparation and model training to deployment and monitoring. Data scientists who want to remain competitive and drive real-world impact with their models must adopt MLOps skills. Here are the top MLOps skills every data scientist should master in 2025. Top MLOps Skills Data Scientists Should Learn in 2025 1. Model Deployment and Serving Gone are the days when building a model and handing it off to engineers was enough. Data scientists now need to understand how to deploy models as APIs or services. Tools like TensorFlo...