Understand the business problem, challenge of existing technologies and areas of application for AI technologies.

Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.

Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.

Set up and manage the AI development and production infrastructure.

Help product managers and business stakeholders understand the potential and limitations of AI when planning new products.

Build data ingest and data transformation infrastructure.

Identify new training datasets, problem transfer learning opportunities and adapt .

Build AI models from scratch, deploy them into production and help stakeholders understand the outcomes.

Create APIs and help business customers transfer results from the developed AI models to operations.

Recommend AI  that can improve the existent products.