Machine Learning Engineer SAT
Placement Forecasting Model
ML Engineer SAT is a standardized examination for assessing Machine Learning Skillsets conducted by Feynn Labs. The objective of the SAT examination is to highlight strength of applicants in ML domains and facilitate ML hiring for Startups as well as provide Feynn Labs with important data for Machine Learning Job Market Research & our Placement Forecasting Model.
Similar to Amcat, Tensorflow Developer Certification, etc. it will be used to test ML skillset of students. Since ML consists of multiple domains and skillsets, it is a challenging task to assess the strength of ML job applicants. Our ML Engineer SAT evaluation is a way to bridge that gap in skill assessment in Machine Learning.