Develop, train, operationalize, monitor and adjust based on new data and requirements.
Responsibilities & Requirements
At least 3 years of experience designing and developing machine learning solutions.
Deep understanding of various machine learning technologies.
Good knowledge of data engineering and preparation mechanisms including Python numpy and pandas.
Knowledge of Python and various ML libraries in clustered (Spark MLlib, for example) and non-clustered (scikit-learn, for example) environments.
Knowledge of NLP technologies is a big plus.
Knowledge of Cloud-enabled Microservices architecture using containers is a big plus.