Getting any role in IT can be daunting as a first timer,
whether it’s your first ever job or you’ve changed career or you’ve had a break
and are returning as a junior in a new field or anything else. Getting one in any part of AI can be even
more of an up hill struggle. Job posting
and recruitment agencies are asking for PhDs, academic papers and post-doctoral
research as well as years of experience in industry. How can you get past that first barrier? I get a lot of people asking me this when I
present at Meet-Ups so thought I’d collate everything into one post.
I’m going to break down how you can demonstrate the skills
that businesses need and how to talk confidently abut what you can offer
without the fluff.
I’m currently building a team for my new secret project and far more of my time than I’d like is spent with the recruitment process. However, every minute of that time is essential and we’re at a point where none of it can be handed off to an agency even if I wanted to1. So getting the recruitment process right is essential.
One of the basic principles of management in any industry is that if you set metrics for your team, they will adapt to maximise those results: set a minimum number of bugs to be resolved and you’ll find the easy ones get picked off, set an average number of features and you’ll find everything held together with string, set too many metrics to cover all bases and you’ll end up with none of them hit and a demoralised (or non-existent) team2. The same is true of recruitment – you will end up hiring people who pass whatever recruitment tasks you set, not necessarily the type of person the company needs. While this may appear obvious, think back to the last interview you were at, either as the interviewer or interviewee – how much relation did the process really have to the role?