Machine Learning Engineer Skills: Essentials To Learn

Machine Learning Engineers are responsible for deploying machine learning models into production, writing data quality tests, automating training pipelines, building model evaluation and monitoring processes, optimizing model inference, and more. They must be able to research machine learning models and algorithms, design and develop algorithms and models, deploy models to production, test for effectiveness, and monitor model performance. The necessary skills for a machine learning engineer include understanding of deep learning architectures, machine learning algorithms and theory, software engineering principles, machine learning system design, data engineering principles, cloud computing principles, and statistics and probability theory.