Description
The Machine Learning Engineer implements and productionizes machine learning models, automates ML workflows, monitors model performance, evaluates data quality, security, and privacy risks, troubleshoots infrastructure and workflows, and integrates models into software systems. The role also develops internal tools, maintains code and documentation, and collaborates with data scientists, software developers, product management, operations, and release management. It requires knowledge of frameworks such as PyTorch, TensorFlow, and Keras, and includes a US hiring range of $126,200 to $264,100 per annum.
