Dear student,

ML ENGINEER:

• The machine learning engineer is that of a computer programmers, but their focus goes beyond specifically programming machines to perform specific tasks. They create programs that will enable machines to take actions without being specifically directed to perform those tasks.
• Translating the work of data scientists from environments such as python/R notebooks analytics applications.
• Creation of web services/APIs for serving ML/AI model results and enabling access to customers or internal teams.
• Automating model training and evaluation processes.
• Automating feature engineering, ensuring data for model training is cleaned and readily available and facilitation of the flow of data between ML/AI models and an organization’s data systems.

ML ARCHITECT:

• Lead the end-to-end architecture and development of machine learning solutions for an enterprise Document Intelligence platform.
• Implement machine learning algorithms into services and pipelines to be consumed at web-scale.
• Engineer large scale development systems using full-stack web-based, distributed shallow and deep-learning technologies and big data technologies.
• Architect and develop a highly scalable, distributed, multi-tenant set of micro-services backend solution.
• Implement test cases to automate testing of frontend and backend code.
• Be a part of a highly productive and creative engineering team, working together to execute on our mission of being the best in the world at Document Intelligence.

I hope this helps.