Hey there! I recently stumbled upon a question that got me thinking about the current state of the job market in tech. A seasoned data engineer with six years of experience, including some overlap in machine learning, was struggling to find a new job as an ML engineer despite having a strong background. It made me wonder: is it just this individual or is there a bigger issue at play?
The question got me thinking about the current landscape of ML and DE jobs. Are Big Data roles more in demand, or is the future looking brighter for machine learning engineers? I’d love to hear your thoughts on this.
As someone who’s been in the industry for a while, I’ve seen how the job market can fluctuate. Sometimes it’s all about supply and demand, while other times it’s about the skills that are currently in vogue. But what’s the current state of affairs? Are companies more interested in hiring data engineers or machine learning engineers?
From my perspective, it seems like Big Data roles are still going strong. Companies are generating more data than ever, and they need people who can manage and make sense of it all. On the other hand, machine learning engineering is a highly specialized field that requires a unique combination of skills. Is it possible that the demand for ML engineers is slower because of the high barrier to entry?
I’d love to hear from you guys. Have you noticed any trends in the job market lately? Are Big Data roles more in demand, or is the future looking brighter for machine learning engineers?
Let’s discuss!