Скачать или смотреть Skills-Based Hiring in 2026: What ML & AI Job Seekers Must Know | InterviewNode

Skills-based hiring is reshaping how ML engineers, data scientists, and software engineers get hired in 2026.
Degrees, company logos, and resumes alone are no longer enough. Today’s ML interviews focus on real skills: system design, data judgment, production reliability, and business impact.
In this video, we cover:
1. What skills-based hiring really means for ML roles
2. How ML interviews are changing in 2026
3. The 5 skill areas companies actually evaluate
4. Common ML interview mistakes experienced engineers make
5. How to prepare for real-world ML system design interviews
6. If you’re preparing for ML, AI, or data science roles at FAANG, startups, or AI-first companies, this video will help you understand what hiring managers truly care about.
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