For CTOs, building an AI team isn’t as simple as hiring a few machine learning engineers. The real challenge lies in aligning hiring decisions to the stage of AI maturity your business is in, from early experimentation through to productisation and scale. Depending on where you sit within the AI model maturity cycle, will determine how to approach building the team. We have broken down the typical scenarios our clients come to us with below, to help you identify how peers typically approach recruitment for each stage. STAGE 1 – EXPLORATORY Objective : Identify where AI adds business value. At this stage, you’re typically asking questions like: Can AI solve a real user or business problem? Is the data available and clean enough? What are the success metrics? Hiring focus: At this point you’d benefit from being lean, strategic and experimental. You need people who can test hypotheses fast. The kinds of profiles that are good for this stage are usually: AI R&D p...
