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Machine Learning Engineer Skills Assessment

Machine Learning Engineer Skills Assessment

Assessment Details
Author
Questions
8
Skills
2
Assessment Summary
A Machine Learning Engineer devotes their time creating data-driven entities which are able to make informed decisions from being trained against a large set of data. They need to be technically gifted yet also theoretically up to scratch with the latest concepts as they will need to work with large sets of data as well as write code that makes up their machine learning algorithm. This assessment contains 8 questions that are designed to test the varying skills of the candidate’s ability to succeed and thrive in the role from a variety of different skills that are relevant.
Skills tested in this assessment
A Machine Learning Engineer must have a wide range of skills in order to succeed, they must marry their deep understanding of computer science concepts like data structures with mathematical concepts like statistics and probability as this facilitates the very way a decision is made when presented with many outcomes. Specifically, in the Vervoe skill assessment, the following skills are looked at it in detail, technical and theatrical knowledge around machine learning and raw statistical analysis of sets of data.
What to test with this assessment
From a carefully constructed set of questions that test an important subset of the required skills to successfully be a Machine Learning Engineer, you will be able to determine their abilities to solve very tough machine learning theoretical problems like identify the best algorithm for a particular dataset, implementation of TensorFlow code and statistical analysis of classifying data.

About the Machine Learning Engineer Skills Assessment

Want to hire the best Machine Learning Engineer to grow your business? Use our expert Machine Learning Engineer skills test to hire the best person and never make another bad hire.

Artificial intelligence (AI) and machine learning (ML) have become very popular in recent years as the benefits of using these technologies are well documented and these are the technologies that machine learning engineer/specialists utilise to do their job.

Candidates who perform well on this Machine Learning Engineer skills assessment will have all the technical skills to use machine learning coding libraries to create algorithms to analyse data sets. They will also have the soft skills to liaise with stakeholders their findings.

You can expect to learn whether a candidate is able to classify problems that is given to them, identifying when data needs to be discretised, identifying skewed + imbalanced dataset, classification of problems using logistic regression and their ability to write code in TensorFlow.

Candidates need both a theoretical and practical understanding of concepts with Machine Learning. This means they will have the ability to design and implement the required mechanisms which are imperative for the functional operation that facilitates machine learning on an enterprise level.
Understanding probability and analyzing statistics, such as the central measures of tendency, distributions, and different analysis methods are necessary for building models from data. Most of the Machine Learning algorithms are formed from statistical modeling.
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Question Type

Question

Machine Learning

Question Type: Multiple Choice

You are given a machine learning project where you need to predict the salary of an employee based on features like age, experience, profile, etc. What kind of machine learning problem is this?
Question Type

Question

Statistical Analysis

Question Type: Text

You are working on a sentiment analysis project which classifies the text as positive or negative. You were not getting better results and when you checked the skewness of the dataset, you found that the negative class is skewed more than 80% towards the positive class. What is the reason for this skewness?
Question Type

Question

Machine Learning

Question Type: Code

In an interview, you are asked to write a Python program using Matplotib for forming a linear plot. What is the correct code to do that?

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Frequently asked questions

Yes, all assessments are fully customizable meaning you can edit a word or two or delete the question and add your own. You can also customize correct answer samples to your exact business specifications.

We offer assessments for any stage of your hiring process.

Top of Funnel: Screen candidates at the top of the funnel with interactive multiple choice questions that include multi media choices. You’ll be able to test knowledge quickly and keep candidates engaged. Assessments are quick to complete ~20min

Mid Funnel: Combine a variety of question types like multiple choice with media, video responses to see how they communicate and a couple of presentation or spreadsheet questions to dig deeper into their technical knowledge. Assessments take ~40min to complete.

Bottom Funnel: A great opportunity to focus on a single outcome and test extensively with a more elaborate question and some documentation around the process. Assessments take ~ 1.5 hrs to complete.

You can completely customize an assessment for your brand including logo, colors and intro videos. You are also able to customize all of the candidate messaging so that it’s unique to your brand and business.

No, Vervoe assessments test for a range of both job specific hard skills and soft skills like communication or attention to detail. This means you’re testing a complete set of skills so you can be confident the candidate you hire not only has the skills to do the job but that culturally and behaviourally they’re the right fit for your business too.

We offer a range of interactive question types including code challenges, presentations, spreadsheets, document uploads, video, audio, multiple choice with media options and more. Each question type is a sample version of the real life tool. For example a code challenge is a snapshot of a live developer environment where a candidate can complete a specific task.
We have an extensive online help center with video and written tutorials to help you get up and running. Our friendly customer success team is also only a question away and can be contacted via our help center.
Yes, all skills assessment are customizable and can be created to simulate a job or task. This provides the ability to test a candidate on real-life skills and abilities required for the role. A unique combination of different types of questions can simulate how a candidate will perform in different scenarios.

Combining a detailed Machine Learning Engineer job description with a Machine Learning Engineer skills assessment can help to identify the specific skills and knowledge required for the job, and can streamline the candidate selection process. By writing a clear and concise job description, hiring managers can attract the right Machine Learning Engineer candidates for each role.

Vervoe's comprehensive recruitment guide on how to hire a Machine Learning Engineer provides a competency framework that maps out the core job-related hard skills and soft skills required for success in the Machine Learning Engineer role. A Machine Learning Engineer recruitment guide helps understand the hiring process of building the ideal candidate profile, writing an accurate job description based on skills, selecting the ideal candidate, interviewing top performers, and making a job offer.

Vervoe is the most sophisticated skill testing recruitment software on the market. It uses advanced machine learning to create tailored skills assessments that are instantly auto-gradable, allowing companies to test candidates for any skill, and automatically grade their response at any scale.

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