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Top 11 AI Engineer Interview Questions and Answers to Prepare in 2023
According to MarketsandMarkets research, the global Artificial Intelligence (AI) market is projected to grow at a Compound Annual Growth Rate (CAGR) of 36.2%, reaching $407 billion by 2027. In addition, 97 million jobs involving AI will be created between 2022 and 2025. Therefore, companies are making massive investments in this technology field, leading to a rise in demand for skilled professionals and a stable job outlook. Now is the ideal time for aspiring candidates to choose this career path and explore lucrative opportunities. And this guide will help you prepare for your AI engineer interview and get that coveted job.
How to Prepare for an AI Engineer Interview
As with any job interview, an AI engineer interview also requires candidates to be composed when answering challenging questions. To be confident about your knowledge and skills, you must be up to date with the most recent breakthroughs in the area. You should also review your experience and relevant projects carefully, and consider your career goals when preparing for the interview. What will help you get familiar with some of the most frequently asked AI interview questions?
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Top AI Interview Questions
You might be considering a career switch to the AI field, or you are already there and want to climb the corporate ladder. In either case, knowing how to answer some of the common interview questions related to the topic will provide you an edge over your competitors.
1. Tell Me the Most Common Uses of AI.
Artificial intelligence has many real-life uses and applications, some of these include:
Social Media: The most common application of AI in social media is facial detection and verification. Additionally, AI and machine learning (ML) technologies are used to design the social media feed.
Customized Online Shopping: Online stores utilize AI-driven algorithms to curate lists of recommended purchases for improved customer experiences. These lists are usually compiled for users based on information like search history and recent orders.
Agriculture: Technologies such as embedded AI systems are revolutionizing the agricultural sector. Using these systems, farmers can now protect their crops from various adversities like weather, weeds, pests, and fluctuating prices.
Smart cars: Smart automobiles are yet another example of how AI is used in everyday life. When an automobile is in autopilot mode, AI uses radar, camera, and GPS data to steer the vehicle.
Healthcare: From sophisticated testing to making medical recommendations, doctors are now trusting AI capabilities to improve the quality of patient care.
2. What is Deep Learning and How Does it Affect AI?
Deep learning is a subset of machine learning or ML. It involves deep neural networks, which are fundamentally layers of neural networks placed on top of one another.
Deep learning in AI enables machines to resolve complex problems related to a diverse, unstructured, and interconnected data set faster. By allowing the software to train itself to carry out operations like speech and image recognition, deep learning exposes machines to huge volumes of data for continuous improvement in their ability to process information.
3. What are Neural Networks and How do They Relate to AI?
Neural networks are a subset of ML algorithms. These network structures are designed just like a human brain. The neuron part of the neural is the computational component and the network part is the way the neurons are interconnected. As the data travels through neural networks, it gains more and more significance. The interconnected neural networks enable machines to process complex data effectively.
4. Tell Me the Difference Between Supervised and Unsupervised Learning.
Supervised learning is an ML process in which outputs are fed back into a computer so that the software can learn from them and provide more accurate results in the future. The computer is initially trained using the supervised learning method. On the other hand, with unsupervised learning, a computer will learn new information without any initial training to support its knowledge.
5. Tell Me the Importance of Machine Learning in AI.
Both terms are widely used yet frequently misinterpreted. Artificial intelligence is a technique that enables machines to mimic human thought and behavior. Machine learning is a subcategory of AI. It is the science of enabling computers to perform actions by providing them with data to process and by letting them self-learn without being explicitly programmed to do so.
Therefore, ML offers important algorithms which are used to implement AI technology in real-world systems and applications.
6. Tell Me the Purpose of TensorFlow.
The Google Brain team, a deep learning research team under GoogleAI, originally created an open-source software library known as TensorFlow to use in ML and neural network research. Its primary purpose is to assist in data-flow programming. Natural language processing and speech recognition are two AI features that are significantly easier to incorporate into applications using TensorFlow.
7. Tell Me About the Constraint Satisfaction Problem.
Mathematical problems known as constraint satisfaction problems (CSPs) consist of a collection of objects whose current state must satisfy a number of constraints. The regularity of CSP formulation provides a commonality for problem analysis and solutions, making CSPs beneficial for use in AI.
8. Tell Me About the Role of Intelligent Agents in AI.
Intelligent agents are autonomous entities that employ sensors to monitor their environment and use actuators to perform their tasks and achieve goals. They may be simple or complex and can be programmed to learn how to perform tasks more efficiently.
9. AI Doesn’t Need Humans. Is This True?
One common misconception regarding artificial intelligence is that it will replace humans. While it may happen that, in the near future, AI capabilities will match or even surpass human intelligence, predicting that AI doesn’t need or will replace humans is fiction. This is because AI is supposed to augment human intelligence, not subjugate it.
10. Is Image Recognition a Key Function of AI?
Yes, a key function of AI is teaching machines how to identify and classify images. As more images are processed, the software becomes adept at recognizing and processing them, which, in turn, helps the machines to self-learn.
Additionally, effective AI image recognition software can forecast outcomes. Applications and software trained to recognize images are intelligent enough to identify locations, persons, and objects in the images.
11. AI is a New Technological Advancement. Is This True?
In 1955, Allen Newell and Herbert A. Simon created what can be called the first artificial intelligence program. Named Logic Theorist, it proved 38 of 52 mathematical theorems correct and found new and more elegant proofs for other such theorems. It was in 1956 that John McCarthy, a data scientist, officially coined the term ‘artificial intelligence’ and conducted the first AI conference at Dartmouth University. Therefore, AI definitely isn’t a new technological advance.
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Important Tips for an AI Engineer Interview
Here are some additional tips to help you prepare for your AI engineer interview:
- Plan your interview preparation well in advance so that you have ample time to cover all topics
- Practice mock interviews with yourself or your peers
- Get practice rethinking and redesigning existing company products; focus on current software problems and think of novel ideas for improving those
- Practice interview-style coding questions on a whiteboard without using a compiler
- Time yourself when you practice responses to system design questions since a lot of importance is usually given to a candidate’s time management skills
ALSO READ: AI Engineer Salary: One of the Most Lucrative Career Paths
Ace AI Job Interviews with Emeritus
Artificial intelligence is one of the most advanced and rapidly expanding engineering streams today, and working in this field can be extremely rewarding. However, there is also a lot of competition. Consider enrolling in Emeritus’ online AI and ML courses, designed in association with the world’s top universities, to gain plenty of hands-on experience and stand out from the crowd in your next AI engineer interview.
By Rupam Deb
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