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Artificial Intelligence Engineer Test

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Type

Role Specific Skills

Time

10 minutes

Level

Medium

Questions

8

About the Test

This Artificial Intelligence test evaluates the skills and knowledge of a candidate in the field of artificial intelligence.

Artificial Intelligence (AI) engineer is a job title that refers to someone who designs, builds, and maintains AI systems. AI engineers work on a variety of tasks related to the development and deployment of AI solutions, including researching and identifying problems that can be solved using AI, designing and implementing AI algorithms and models, training and fine-tuning AI models using machine learning techniques, and deploying AI models into production. They may also be responsible for monitoring the performance of AI models and identifying opportunities for improvement.

AI engineers typically have a strong background in computer science and machine learning, as well as experience with programming languages such as Python and TensorFlow. They may also have expertise in specific areas of AI, such as natural language processing, computer vision, or machine learning algorithms. AI engineers often work in interdisciplinary teams alongside data scientists, data engineers, and software engineers to develop and deploy AI solutions.

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Skills Measured

  • Python
  • C++
  • Machine Learning
  • AI Technologies
  • Statistics

Roles

  • Artificial Intelligence Engineer
  • Data Scientist
  • Data Analyst

Hire the best, every time, anywhere


4.9

Customer Satisfaction

Testlify helps you identify the best talent from anywhere in the world, with a seamless experience that candidates and hiring teams love every step of the way.

1

Python

Python is a high-level, interpreted programming language. It is a general-purpose language that can be used to build a wide range of applications, from simple scripts to complex, enterprise-level software. Python is known for its simplicity, ease of use, and ability to handle a wide range of data types and operations. It is also an open-source language, which means that its source code is freely available and can be modified and distributed by anyone.

2

C++

C++ is a high-level, compiled programming language. It is a general-purpose language that can be used to build a wide range of applications, from simple scripts to complex, enterprise-level software. C++ is known for its efficiency and performance, as well as its ability to work closely with the underlying hardware of a computer. It is also a statically-typed language, which means the type of data a variable can store must be specified when the variable is declared.

3

Machine Learning

Machine learning is a type of artificial intelligence (AI) that allows systems to automatically improve their performance on a specific task by learning from data. In machine learning, a system is trained on a large dataset that contains examples of the task it is trying to learn. The system then uses this training data to develop a mathematical model to make predictions or decisions based on new input data. As the system is exposed to more data, it can improve its performance by updating its model to reflect the underlying patterns in the data better.

4

AI Technologies

AI technology refers to the various tools and techniques that are used to develop artificial intelligence (AI) systems. These technologies include algorithms and mathematical models that allow systems to learn from data, as well as software and hardware infrastructure that can support the processing and storage of large amounts of data. Some common types of AI technology include machine learning, natural language processing, and computer vision.

5

Statistics

Statistics is a branch of mathematics that deals with data collection, analysis, interpretation, presentation, and organization. It is a powerful tool that can be used to make informed decisions and predictions based on numerical data. In statistics, data is collected, cleaned, and organized into a format that can be easily analyzed. This analysis typically involves using statistical models and algorithms to identify trends and patterns in the data and to make predictions or inferences about a larger population based on a sample of data.

The test is created by a subject-matter expert

Testlify’s skill tests are designed by experienced SMEs (subject matter experts). We evaluate these experts based on specific metrics such as expertise, capability, and their market reputation. Prior to being published, each skill test is peer-reviewed by other experts and then calibrated based on insights derived from a significant number of test-takers who are well-versed in that skill area. Our inherent feedback systems and built-in algorithms enable our SMEs to refine our tests continually.

Frequently Asked Questions for Artificial Intelligence Engineers

An Artificial Intelligence engineer is a professional who applies artificial intelligence (AI) techniques to design and develop intelligent systems. These systems can learn from data and make decisions based on that learning, allowing them to perform various tasks that would be difficult or impossible for humans. AI engineers are responsible for creating algorithms and models that allow these systems to learn and implementing and testing these algorithms to ensure that they are accurate and reliable.

This Artificial Intelligence test evaluates the skills and knowledge of a candidate in the field of artificial intelligence. An ideal Artificial Intelligence Engineer must be able to develop test plans, debug AI systems, run Integration tests, and evaluate AI system performance.

  • Artificial Intelligence Engineer
  • Data Scientist
  • Data Analyst

  • Python
  • C++
  • Machine Learning
  • AI Technologies
  • Statistics

  • Researching and identifying problems that can be solved using AI technologies.
  • Designing and implementing AI algorithms and models to solve these problems.
  • Working with data scientists and data engineers to prepare and process data for use in AI models.
  • Training and fine-tuning AI models using machine learning techniques.
  • Deploying AI models into production and maintaining them over time.

Frequently Asked Questions

These are ready-made tests, existing in our test library, created by subject matter experts. We have 200+ such skills tests covering various skills from programming skills to DevOps, including Aptitude and Personality testing.

You can go to the ‘Test Library’ tab and search for tests from the Job Role or Test Type drop-down menu.

Currently, we do not offer any sample tests. However, when you select a test, there would be a few practice questions before the start of the actual test, which would give you a fair idea of how the entire test would look.

Our tests typically take between 25-30 minutes to complete.

In case you need to test for a unique skill-set or specialized experience, you can add your own questions and customize the test to suit your requirements.

We’ve put a lot of effort into ensuring a conducive test environment. A stable internet connection, an internet browser with cookies and Java-Script enabled is all that is required!
However, for a smooth test-taking process, we recommend the following browsers:
– Google Chrome
– Internet Expl
– Mozilla Firefox

Yes, our tests are compatible with almost all modern mobile devices (including tablets) that have a webcam installed.

Yes, our tests are EEOC (Equal Employment Opportunity Commission) compliant and are whetted by subject matter experts, thus having high reliability (test consistency) and validity (accuracy of the test).

Yes! We integrate with popular recruiting tools such as Greenhouse, Lever, GoodTime, and many more.

We are GDPR compliant and take data security very seriously. You have complete ownership of your data. All your data is safe and secure, and we do not expose it to any third party.

Testlify is an excellent tool for assessing candidates’ soft and hard skills. The founder and customer success team were helpful during onboarding and demonstrated a commitment to continuously improving the platform.
Fabrizio Parzanese
Founder, ExpHire
Testlify’s integration with ATS makes it simple to incorporate into recruitment processes. Customizable test suites, open-ended questions, and qualifying questions streamline the candidate assessment process and improve collaboration with hiring managers. 
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 Founder, White
A must-have tool in any HR department! Well thought out a comprehensive platform that shortens the candidate selection time significantly.
Meir Shachar
CEO at PowerLinx
With Testlify, we were able to optimize our initial screening process by upwards of 75%.
We saved a tremendous amount
Gary E. Benedik
President, Arch Advisory Group
Testlify has revolutionized our hiring process by streamlining the screening stage. It has saved us countless hours by allowing us to shortlist the right candidates.
Vipin Kashyap
CEO at Sookshum Labs

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Comeet

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Cornerstone

Crelate

CandidateZip

Convenia

CleverYak

CodeSubmit

DriverReach

Disprz

DevSkiller

Eploy

Engage Talent

Expiration Reminder

Ezekia

Fountain

Freshteam

Factorial

Greenhouse

GainKnowHow

GoHire

Go1

HR Cloud

Homerun

Hireflix

Hire Aiva

HrFlow.ai

Hibob

HireKwik

Huntool

intelliHR

Innform

Interviewer.ai

Introist

Jobsoid

JazzHR

Jobvite

Jobscore

Jobjet

Jobtoolz

Kalo

Lever

Lano

Lanteria HR

Manatal

MyInterview

MyZenTeam

Madgex Job Board

myEZcare

Namely

Openpaye

Polymer

Pinpoint

People HR

Peeplo

Paycor

PeopleForce

PaperShift

Qualified.io

Recruitee

Recruiterflow

Resume

Rooster

RoboRecruiter

Starred

SAP SuccessFactors

SmartRecruiters

SimplyHired

Smart Job Board

ShopHire

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Tanda

Tovuti LMS

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Ubeya

UKG Pro Recruiting

VivaHR

Vervoe

Workday

Worksuite

When I Work

Workable

Workboard

WizeHire

WholeStory

Xobin

YM Careers

Zinc

Zoho People

Zenegy

100Hires

8xpand

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