Design and train models for use in production environments
Mine structured and unstructured data for patterns
Utilize data from databases, historians, and/or data lakes
Rigorously build, analyze and compare machine learning or statistical models; there is a strong emphasis on programming using the most popular machine learning languages such as Python
Work with application developers to develop data-analytics products that are deployed to end-users as part of packaged solutions
Visualize and report findings of deployed data analytics solutions to provide insights to the organization and our customers
Deploy machine learning models and integrate model predictions in business
Setup infrastructure for machine learning, model deployment
Deploy CI/CD framework to frequently deliver code/features to production