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