An IML assessment should give you a clear view of how a candidate works across data, models, and decisions. It looks at hands-on skill, not just theory. A strong coverage includes data handling, model building, evaluation, deployment basics, and ethics in AI. You reduce guesswork and raise hiring quality. When you anchor your IML skills assessment to these areas. https://medium.com/@ankitaroyde/how-to-build-a-reliable-iml-skill-assessment-framework-9e7c2d3ecb86