Appearing for AI Interview? Be Prepared for the 4th Question!

Yes, preparing for an Artificial Intelligence Interview can seem intimidating, but, we got you covered!

Preparing for an artificial intelligence job interview can feel overwhelming, whether you are a fresher or not. However, you need not worry much about this. In this article, Analytics Insight aims to familiarize its readers about the type of questions they can expect in the interview round. With artificial intelligence and machine learning touted as the most preferred and in-demand tech skill for 2021, it is important to access one's expertise in the same.

Ever since the artificial intelligence started having a positive influence of the market, companies are on lookout to hire best professionals in the field. This means, while having relevant skills will give you a headstart, the ability to translate them into business results will be more preferred. Moreover, it is better to prepare ahead of time for crucial job AI interview questions, apart from upskilling oneself in top artificial intelligence certifications. The following questions highlight the common interview questions candidates can expect during their selection process.

1.What would you do if you notice removing certain values in a training dataset causes negative bias?

Generally, artificial intelligence models are prone to producing biased results due to missing/ insufficient data values in the training dataset. This can end up causing the AI model to give inaccurate or biased output. Fortunately, in most of the scenarios, there are ways to fix this issue. The interviewer wants to see if you have adequate knowledge about the same and approaches you shall take if you encounter such issues. This question is an example of gauging the problem-solving ability, critical thinking ability, and knowledge applicability of the applicant.

2. Write a code for 'xyz' task

An artificial intelligence job requires proficiency in programming languages like Python, R, AIML, STRIPS, Lisp, Prolog, and Java. So, if the interviewer asks to write a program or programming related questions, they want to check your familiarity with the coding and your comfort with it.

Interviewer can also ask if you are acquainted with common AI software platforms like Tensor Flow, Azure Machine Learning, Playment, Salesforce Einstein and others.

3. What's your experience with AIOps/time forecasting/Robotics?

There are a multitude of career opportunities under artificial intelligence. Hence, there will be several job requirements, roles and responsibilities. The hiring company will want to make sure that a candidate is the best fit for them.  So based on the job vacancy and the company requirement, the hiring team will ask questions about key concepts, projects done, familiarity with technical tools, previous experience (including internships), etc., to access subject and practical level of understanding.

Subjective Questions can be:

• What is A* Search/ Depth-First Search (DFS)/ uniform cost search algorithm in AI?

• What does Stemming & Lemmatization in NLP mean?

• State differences between inductive machine learning and deductive machine learning or Overfitting and Underfitting algorithms

• What are the characteristics of an expert system?

• Importance of Gradient checking

• Applications of 'any AI technology' in a field

• What's the formula for coefficient for logistic regression?

4. Case-study and scenario questions

This is the most high-order thinking skill level of question that every candidate should expect in an interview. Interviewer will present a typical scenario based on the candidate's practical experience and theoretical knowledge and ask solutions or approaches that can be taken to solve a problem point. Some examples are:

• Show the working of the Minimax algorithm using Tic-Tac-Toe Game.

• How does Uber's surge pricing algorithm work?

• How will you design a recommendation engine for a tourist looking for budget cafes in a new city?

• What can you do to improve target marketing for a brand which caters to vegan fitness influencers?

Whatever shall be the question, the applicants must think calmly about how they use their technical expertise to address the problem and deliver expected results and should be able to explain their thought process behind the chosen approaches.

5. Recent innovations in artificial intelligence and how they can help in boosting the company's trajectory

There is no doubt that artificial intelligence is bringing disruption and has transformed several industry verticals. With new innovations and products making into headlines, companies will aim to leverage them to maximize their revenue and drive better growth in market dynamics. So, if an interviewer asks such questions, they want to know your interest in joining the company and how well-informed you're about the current events.

Hence, make sure to research about the company, showcase why you'll be an asset to the business, tell them why you wish to pursue your career in AI, disclose any specific AI model/software you want to build and show your enthusiasm in learning from feedback and flexibility to acquire new skills. These sort of loaded questions allow companies to get an idea about excited and dedicated an applicant is to propel the company to new heights with intriguing project initiatives and ideas.