Assess candidates' proficiency in Deep Learning with our comprehensive online test, designed by industry experts to evaluate skills in working with Deep Neural Network models. This assessment screens for knowledge of Machine Learning algorithms, development of deep learning neural networks for various applications, and the ability to build data processing pipelines.

Ideal for hiring:

• Deep Learning Engineers
• Research Engineers specializing in Deep Learning
• Deep Learning Developers

Key Assessment Areas:

• Understanding of Machine Learning algorithms and principles
• Experience with Deep NN models for image classification, object detection, and semantic segmentation
• Proficiency in developing deep learning neural networks on mobile platforms
• Ability to construct data processing pipelines and algorithms for sequencing data

Interview Mocha’s robust reporting and intelligent analytics provide comprehensive insights into candidate performance across sections, ensuring a smooth hiring process with candidate feedback modules for an excellent candidate experience.

The test format includes scenario-based questions and options to customize according to specific job requirements, featuring a variety of question types like MCQs, MAQs, Fill in the Blanks, Descriptive Questions, Whiteboard Questions, Audio/Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, and True/False Questions.

This pre-employment assessment evaluates practical knowledge and readiness for employment in Deep Learning roles.