An ML engineer’s primary goals are the creation of machine learning models and retraining systems when needed. Responsibilities vary, depending on the organization, but some common responsibilities for this role include:

• Designing ML Systems
• Researching and implementing ML algorithms and tools
• Selecting appropriate data sets
• Picking appropriate data representation methods
• Identifying differences in data distribution that affects model performance.
• Verifying data quality
• Transforming and converting data science prototypes
• Performing statistical analysis
• Running machine learning tests
• Using results to improve models
• Training and retraining systems when needed
• Extending machine learning libraries
• Developing machine learning apps according to client requirements