ML engineer. Generally known as MLOps engineers, ML engineers support provide the versions made by data scientists into production environments by using the ML pipelines preserved by data engineers. They enhance algorithms for overall performance; deploy and keep track of ML products; keep and scale ML infrastructure; and automate the ML lifecycle