Unfold ItThink. Unfold. Move.Menu
Unfold ItThink. Unfold. Move.Unfold ItThink. Unfold. Move.My company needs to build its first AI/ML team and I've never done this before. I don't know how many people we need, what roles to hire first, where to find them, how to structure the team, or what they should work on in their first 90 days. Every AI hiring guide assumes I already have a data science organization. I'm starting from zero.
Plan for: Build Your First AI/ML Team - Hiring, Structure, and First 90 Days
Hiring highly theoretical Data Scientists instead of practical Data/ML Engineers.
Focus your job descriptions and interview questions on 'Applied ML', API integration, and data pipeline construction rather than algorithm creation from scratch.
Poor data quality prevents the team from building effective predictive models.
Prioritize hiring a Data Engineer as your first hire to clean and structure the data before the ML models are built.
The team tries to boil the ocean in the first 90 days rather than delivering a quick win.
Strictly limit the 90-day goal to one internal workflow automation or one simple GenAI feature integration.
Ready to make this plan yours?
