Banner
Banner
Contact usLogin
online-assessment
online-assessment
ONLINE ASSESSMENT TOOLS
HIRING
    Hire, Engage and Innovate
  • /header/Online-Hackathons.svg
    Hackathons and Ideathons

    Accelerate innovations

online-assessment
/assets/pbt/aboutTest.svg
/assets/pbt/skills.svg
/assets/pbt/customize.svg
/assets/pbt/features.svg
Core Corporate Functions>IT>AI>Machine Learning Engineer with experience in Python

Machine Learning Assessment to Evaluated Machine Learning Skills

This Machine Learning assessment aims to measure work readiness skills in core and advanced concepts of the Machine Learning algorithm. Along with assessing domain knowledge, this Machine Learning test also evaluates hands-on programming skills of the applicant.

Trusted By :

Inside This Assessment

This Machine Learning assessment by Mercer | Mettl intends to assess the data analytics skills of the candidate in Python along with measuring the level of their knowledge on core and advanced Machine Learning concepts. The 60-minutes online assessment contains a unique set of 19 MCQs that evaluate domain knowledge of the candidate on three difficulty levels, basic, intermediate and advanced.

The Front-end Developer assessment also measures the hands-on prgramming skills of an applicant through a simulator based coding problem. The test is thoughtfully crafted and validated by Mercer | Mettl's team of subject matter experts which ensures that it is comprehensive and the questions are framed as per current industry standards. The evaluation reports offer a detailed insight to the strength and development areas of the applicant enabling evaluators to make the best decision.

Key profiles this Machine Learning assessment is useful for hiring:

  • Machine Learning Engineers
  • Machine Learning Specialists
  • Machine Learning Consultants

SKILL LIBRARY

This Assessment is a part of following Skills Libraries

Machine Learning Competency Framework

Get a detailed look inside the test

Competency Under Scanner

Machine Learning Engineer with experience in Python

Competencies:

Hands-On Programming

This Machine Learning test assesses a candidate's coding skills on a robust coding simulator by giving real-world problems and evaluates their hands-on experience and capability to code in a desired language.

Core Concepts

This Machine Learning assessment test evaluates the knowledge of core concepts such as Data Preprocessing, Dimensionality Reduction, Regression and its types along with Data Science Algorithms.

Advanced Concepts

This Machine Learning assessment test evaluates the knowledge of advanced concepts such as Neural Network, Natural Language Processing, Deep Learning and Deep Learning Artificial Neural Networks.

Customize This Test

Flexible customization options to suit your needs

Set difficulty level of test

Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

Combine multiple skills into one test

Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.

Add your own questions to the test

Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.

Request a tailor-made test

Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

The Mercer | Mettl Advantage

The Mercer | Mettl Edge

  • Industry Leading 24/7 Support
  • State of the art examination platform
  • Inbuilt Cutting Edge AI-Driven Proctoring
  • Simulators designed by developers
  • Tests Tailored to Your business needs
  • Support for 20+ Languages in 80+ Countries Globally

Simple Setup in 4 Steps

Step 1: Add test

Add this test your tests

Step 2: Share link

Share test link from your tests

Step 3: Test View

Candidate take the test

Step 4: Insightful Report

You get their tests report

Our Customers Vouch for Our Quality and Service

Sonal Kapur Sinha
Saranya Mukherjee
Anson Mathews
Shirish Awasthi
Mayank Jain
Ms. Lily Lopez-McGee
Farasat Khan

The validity of Mercer | Mettl''s assessments is exceptionally robust. It enabled us to funnel people who were precisely the type we needed. Mercer | Mettl helped us to accurately identify high-potential candidates within our internal team.

...read more

Sonal Kapur Sinha

Sonal Kapur Sinha

Head HR, Modern Foods

Download Case Study

Mercer | Mettl''s platform and the science behind it are highly intuitive and systematic for the test-takers. Customized assessments, how data is aggregated, and how you can download insightful reports directly from the system - stood out for us from

...read more

Saranya Mukherjee

Saranya Mukherjee

Lead, Early Career Development Campus & Employer Branding

Download Case Study

The ease of navigating the platform, the simplicity of the assessment reports, the ability to adapt to the COVID-19 situation -all of these helped us reduce bad hires, ensure successful probations and onboard individuals with the right set of compete

...read more

Anson Mathews

Anson Mathews

Organization Development Manager, Averda

Download Case Study

Mercer | Mettl''s solutions brought various unprecedented insights into our technical hiring process. It was complemented by reduced friction and enhanced ease and agility. With one of the most advanced and extensive lists of questions and world-cla

...read more

Shirish Awasthi

Shirish Awasthi

Talent Acquisition, Coforge Ltd.

Download Case Study

We had an extremely pleasant experience working with Mercer | Mettl. Thanks to Mercer | Mettl we were able to ensure contuinity in examination. I dont think we could have offered our exams any other way.

...read more

Mayank Jain

Mayank Jain

Manager, Vidyamandir Classes

Download Case Study

Mercer | Mettl was a perfect fit for our fellowship examination as the platform was streamlined with our needs seamlessly. It met the requirement of providing a secure space to the test-takers, giving us the option to use browsing tolerance. It provi

...read more

Ms. Lily Lopez-McGee

Ms. Lily Lopez-McGee

National Fellowship Director, Howard University

Download Case Study

Mercer | Mettl''s team was excellent in understanding our needs. They heard us intently, also sharing some pertinent inputs. They ensured we remained on track for our competency assessments, besides providing us considerable follow-up support. We lo

...read more

Farasat Khan

Farasat Khan

Head, Learning and Development, SRL Diagnostics

Download Case Study

Frequently Asked Questions (FAQs)

Yes, at Mercer| Mettl, it can be done. Please write to us if you seek further information; we will be happy to assist you.

Yes, at Mercer|Mettl, it can be done. Should you need any further information, please write to us, and we will be happy to assist you. 

Sometimes it seems quite challenging to come to terms with the stressful interview environment. Very few participants would fancy the idea of getting bombarded by complex questions during an interview. But interviewees have to prove their mettle and succeed in the recruitment process to get their dream jobs. As machine learning engineers, you need to make an excellent first impression during the interview. So, given below are some sample questions that are frequently asked at an interview:
 
 Machine learning interview questions are generally based on real-world challenges and look at the problem-solving abilities of candidates. Question types may vary depending upon the nature of the business. Let’s elucidate the statement with some examples:
 A digital image processing company may seek a relevant answer for this question - “What steps will you follow to figure out all the images that constitute part of a landscape?’’ A speech processing company could ask in an interview, “Amidst the pile of voicemails, how can you find the file containing the voice of an old woman?’’ A video processing company may be more interested in this question: “In a soccer video, can you mark all the times when a specific footballer is in the view?” A leading NLP company may ask a candidate, “How would you devise suggestions for the next word in an unfinished sentence?’’  There could be multiple use cases and a wide array of questions that may be asked. It is advisable to go through some case studies that relate to the company’s nature of business.
 Also, given below are some questions that candidates should be prepared to answer:
 
 What is the difference between labeled and unlabeled data?
 How to use labeled data, and what if you don’t have any labeled data?
 How do you explain skewed data?
 How can you detect overfitting and underfitting?
 How do you stop overfitting?
 How do you make predictions faster?
 Moreover, it’s common for interviewers to ask candidates about their previous machine learning projects that they have accomplished in a detailed manner. Interviewees need to concisely explain what challenges they faced in the past and how did they address those problems.

Trusted by More Than 6000 Clients Worldwide

Looking for a solution for *


    COMPANY
    Partners
    PRODUCTS
    OTHERS

CALL US

INVITED FOR TEST?

TAKE TEST

ASPASP
ISO-27001ISO-9001GDPR
TUVNABCB

2023 Mercer LLC, All Rights Reserved

Terms of Services


Privacy Notice


Cookies


GDPR Compliance


Policy