Operations & Managed Services

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