Undoubtedly, 2023 was the year of AI - AI went mainstream, the number of AI companies exploded, as did funding for and investments in AI companies.
It was also the year that the number of machine learning engineer jobs went through the roof compared to previous years.
It’s not just interest in ML jobs that has grown, but the actual number itself has exploded.
LinkedIn listed AI Engineer as one of the Top 10 Fastest Growing Roles for 2024 in a recent article this month.
Georgetown's Center for Security and Emerging Technology just released a data analysis that AI developer/engineer jobs increased by 25.8% from 2018 to 2022, surpassing 5 million jobs.
The growth of the number of jobs has made it very difficult to hire - and it’s not just that technologies such as OpenAI, Mistral AI, Bard and other models with APIs are so new.
Companies want Senior Machine Learning engineers, not mid-level, junior, or entry-level.
So why is it so hard to hire a Senior Machine Learning Engineer?
Let’s take a quick look to find out.