Which generative AI skills are most desired by employers?

AI and ML Jobs


Over the past year, there has been quite a bit of talk about generative artificial intelligence (AI), especially in the context of chatbots like ChatGPT. Technology professionals are experimenting with this new technology and often looking for ways to integrate it into their companies’ technology stacks.

But which generative AI skills and tools are most in demand? The answer can help tech professionals tailor their training and potentially land more interviews. According to Latest analysis of the Generated AI market by UpworkHere are the top 10 AI-related job searches generated by companies in descending order.

  • Chat GPT
  • bart
  • stable diffusion
  • TensorFlow
  • AI chatbot
  • Generation AI
  • image processing
  • pie torch
  • Natural language processing (NLP)
  • bard

This analysis was conducted between January and June 2023. ”OpenAI continues to see a first-mover advantage with ChatGPT, which includes the underlying models GPT-3 and GPT-4, topping the list of AI-related generative search terms by prospective adopters, followed by BERT and stable proliferation. ”

“Many of the skills with the highest quarter-over-quarter growth in searches demonstrate a shift from single generative AI tools to generative AI applications and services, such as AI content creation, Azure OpenAI, and prompt engineering,” the memo continues.

It seems increasingly important for all technology professionals to have a basic understanding of generative AI. From there, it only pays to master tools and frameworks like ChatGPT. TensorFlowand pie torch. It makes sense that AI will fundamentally change many technology jobs in the coming years. After all, it already has have a huge impact on software development.

Although the number of AI-related jobs is still relatively small, Focus on a few key areaswe expect to see a surge in mentions of this technology in job postings. Companies everywhere are looking for technology specialists who can use machine learning and AI to make their apps, services, and backend infrastructure “smart.”



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