April 6, 2022, 6:07 p.m. | Olivier Blais

Towards Data Science - Medium towardsdatascience.com

Delivering an AI system is hard. This is why you need a high-performance team with complementary talents and skills.

What is the optimal team to deliver AI projects successfully? It is a complex question to answer. It will vary depending on the type of project and the type of organization you work for. Using the learnings I gathered from mentoring many companies in different industries, here are nine critical roles that make or break AI projects.

An employee can fill …

ai change-management data scientist developer project project-management roles teamwork

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Analytics & Insight Specialist, Customer Success

@ Fortinet | Ottawa, ON, Canada

Account Director, ChatGPT Enterprise - Majors

@ OpenAI | Remote - Paris