What is an entry level MLOps engineer?

An entry level MLOps (Machine Learning Operations) engineer is a professional who helps bridge the gap between data science and IT operations by managing, deploying, and monitoring machine learning models in production environments. They typically work under the supervision of more experienced engineers and focus on automating workflows, maintaining infrastructure, and ensuring models run smoothly at scale. Entry level MLOps engineers often use tools like Docker, Kubernetes, and cloud platforms, and collaborate with data scientists to streamline the model lifecycle from development to deployment.