AI skills report: Meeting the demand for AI & ML engineers
With a surging demand for artificial intelligence (AI) innovation across industries, employers today are experiencing significant skill gaps in AI and machine learning (ML) engineering skills.
This whitepaper from Albert Sahakyan, Engineering Manager at CodeSignal, identifies the core skills required of AI, ML, and prompt engineers. It then presents 2 solutions for filling these skills gaps on technical teams:
A more effective process for identifying qualified AI and ML engineering candidates
Best practices for upskilling and reskilling current employees with in-demand AI and ML skills
Download the whitepaper to learn about how you can discover and develop the AI talent your organization needs, including examples of assessment questions and learning exercises.
