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Is this What an AI Job Interview Looks Like?
By Aditi Bhat
Mark Hurd, CEO of tech giant Oracle has predicted that by 2025, artificial intelligence will be a part of every cloud application in the digital technology sphere.
While the software industry still tops the demand for AI professionals, the dynamics are changing with other sectors like banking and finance, healthcare and education fast catching up.
A 2018 LinkedIn report says that India grabbed the 3rd position, only topped by the US and China, in a list of countries with the highest penetration of AI skills among the workforce.
The demand for AI professionals is such that India is facing a shortage of qualified AI talent to fill up these vacancies. Clearly, this is a great opportunity for AI professionals to put their best foot forward and bag a job in their dream company with a high salary package.
The first step to this is preparing for an artificial intelligence job interview and what better way than to get a sneak peek into what happens in an AI interview?
So, let’s begin with the first step. The commonly asked AI interview questions.
AI interview questions you should be prepared to answer
The interview panel is keen on testing your theoretical concepts and will pose questions related to AI applications, its sub-branches and the difference between AI and DL.
The questions can vary vastly in their scope, and can range from generic questions related to the application of AI and DL to in-depth theoretical questions based on machine learning, Tensor Flow, commonly used programming languages in AI such as Python, Prolog and R concepts related to Support Machine Vectors (SVMs).
Here’s what you can expect:
Question: What are the most commonly used programming languages in AI?
Answer: Here, you can focus on the most trending programming languages in AI such as Python, Prolog, R, Java, and Lisp.
Question: What are neural networks in AI?
Answer: Neural networks are a critical concept in AI. You can showcase a thorough knowledge of the concept by explaining how neural networks can mathematically model and emulate the way the biological brain works, allowing the machine to think and learn the same way humans do.
Question: What are the most commonly used applications of AI?
Answer: Process automation, speech recognition, cybersecurity, home automation, and computer software are just some of them.
Question: What is Tensor Flow in AI?
Answer: Tensor Flow is an important open source Math Library. It allows developers to create dataflow graphs - structures that showcase how data moves through a graph, or a series of processing nodes, where each node in the graph represents a mathematical operation.
Case study and live projects
Talk to your interviewer about your industry projects, case studies and participation in hackathons and datathons. Recruiters today value your real-world experience and would bring you to a discussion around your recent project, case study or datathons that you were a part of.
This is a great opportunity to turn the interview questions in your favour by showcasing how you successfully employed textbook concepts into designing algorithms for a real-world scenario.
Be ready with facts like the largest amount of data you worked with to substantiate your answers and impress the panel.
You don’t need to be a math wizard, but a thorough knowledge of algebra, probability and statistics is fundamental to making it big in the AI sector. The interview panel may pose questions related to probability and statistics to see how comfortable you are with numbers and statistical thinking.
Lastly, the interview panel may consist of professionals from non-technical fields like the VP or the HR. So expect non-technical questions like how do you keep yourself updated as AI is still at a nascent stage in India and is a constantly emerging field?
An AI job interview prep can be tricky but with a pre- interview strategy and carefully drafted resume, one can definitely increase his probability to land a career defining job.
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