Artificial intelligence engineers are in high demand in today's rapidly changing technological world. Top companies hire artificial intelligence engineers all year and aren't afraid to pay them well. In the US, the average annual salary for an artificial intelligence engineer is $119,297, which is significantly higher than the average salary for other software engineers.
While working as an AI engineer can be a rewarding career, cracking AI interviews in 2022 may be extremely difficult due to the high level of competition for these top positions. To beat the competition and come out on top as an artificial intelligence engineer at a FAANG+ company, it is critical to understand the interview process and develop a solid preparation strategy.
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In this article, we'll learn how to become an artificial intelligence engineer in 2022. We'll also look at the average artificial intelligence engineer salary in the US to get a sense of how much AI engineers make. We'll also look at how to land jobs as an artificial intelligence engineer at the biggest companies by surviving tough and competitive technical interviews.
Here’s what we’ll discuss in this article:
What Do Artificial Intelligence Engineers Do? Artificial Intelligence engineers primarily build AI models to automate decision-making for business processes and systems. They do so by designing Machine Learning algorithms and neural networks. Artificial intelligence engineers are required to have a strong grasp of programming and data science.
Let’s take a look at the fundamental roles and responsibilities of artificial intelligence engineers:
Develop ML algorithms and neural networks to gather business insights and automate business processes Build predictive data models through powerful algorithms to automate decision-making for applications and systems Convert ML models into APIs to enable multiple applications to deploy predictive models Evaluate statistical modes, perform analysis, create decision trees, and optimize ML models on a regular basis Leverage deep learning to draw advanced insights from huge swathes of data and use the information to build ML models and data infrastructure models Coordinate with multiple teams to understand business and process-related requirements Skills Required to Become an Artificial Intelligence Engineer in 2022 To become an artificial intelligence engineer at a top company, you’re required to possess a few skills that will help you fulfill your responsibilities and roles. Let’s look at some skills you should possess to become an artificial intelligence engineer in 2022.
Basic Qualifications Needed These are some of the basic qualifications needed to become an AI engineer:
A degree in computer science, data engineering, data science, or IT Working knowledge of an Object-Oriented Programming language, preferably Java, Python, or R Knowledge of working with scalable systems with low latency Strong problem-solving skills - your ability to solve complex coding problems is key to acing AI interviews at top companies. Additional Skills Required to Become an Artificial Intelligence Engineer Let’s look at some additional skills you require to become a successful AI engineer
Knowledge of Big Data Technologies As an artificial intelligence engineer, you’re required to know full well how big-data technologies such as Spark, Hadoop, Mongo, and Cassandra work. As AI engineers deal with enormous volumes of data, having a working knowledge of big data technologies is absolutely crucial.
Understanding Machine Learning Algorithms, Deep Learning, and Neural Networks Knowing how to build Machine Learning algorithms and neural networks to integrate them with predictive data models is an essential skill to have as an AI engineer. Through the understanding of these models, AI engineers can perform statistical analysis and automate business processes and systems.
Understanding how certain AI frameworks work is also vital as an artificial intelligence engineer. Having a working knowledge of popular AI frameworks, including TensorFlow, Caffe, Theano, and PyTorch, is important.
Careers in Artificial Intelligence Artificial intelligence offers multiple career opportunities to software developers. Let’s look at the typical roles associated with Artificial Intelligence today.
AI Developer This is mostly an entry-level role in artificial intelligence. To be an AI developer, you should be a strong problem-solver and have a basic understanding of how ML algorithms work.
AI Architect AI architects figure out business requirements for clients and provide end-to-end AI solutions by integrating data models with business applications and processes. To become an AI architect, you’re required to have a few years of experience as an AI engineer/developer.
ML Engineers ML engineers play a crucial role in designing and developing Machine Learning algorithms and integrating these algorithms with data models. ML engineers are offered some of the highest salaries in the software industry.
Business Intelligence Professionals As a business intelligence professional, you’re required to understand the language of data and leverage your findings to build ML models. To become a business intelligence engineer, you’re required to have experience as an AI developer.
Data Scientist Data science involves drawing key insights from massive volumes of data and making business decisions through integrating ML models with processes and systems. Today, data science is one of the most in-demand and highest-paying fields in software.
Tips to Crack Artificial Intelligence Engineer Interviews Your interview prep has to be solid and thorough to become an artificial intelligence engineer at a top tech company. Adopting a foolproof strategy that includes all the necessary ingredients for interview success is key. This section will look at how you can become an artificial intelligence engineer in FAANG+ companies.
Start Early Begin your interview preparation at least 12 weeks before the interview . Artificial intelligence engineer interviews are significantly challenging, and the topics to prepare are vast. Starting early is the only way to cover all the critical concepts in sufficient detail comfortably.
Plan Your Prep Break your prep plan into weeks. For example, spend the first 3-4 weeks preparing coding concepts . Cover the important topics in core data structures and algorithms, including:
Graphs Trees Recursion Dynamic Programming Arrays Linked Lists Hash Tables Spend the next 2 weeks preparing the important concepts in scalable systems . These include:
Online processing systems File systems Cloud systems Network protocols Databases Spend the next 4-5 weeks preparing the important concepts in Machine Learning and AI . These concepts would include:
Model Evaluation Logistic, Linear, and Polynomial Regression Regression Models, Naive Bayes, Decision Trees, Random Forests, Clustering Techniques, Gaussian Mixture Models, Neural Networks, Neural Embedding, Sequential Models, Model Optimization Spend at least 1 week preparing for the behavioral interview . Create responses to commonly asked behavioral questions using the STAR method.
Following are a few more tips to get interview-ready:
These tips will help you crack Artificial Intelligence Interviews at FAANG+ companies.
Artificial Intelligence Engineer Salary in the US Wondering how much artificial intelligence engineers make in the United States?
Well, the average artificial intelligence engineer salary in the US is $119,297 per year. The below table will give you more information on the average artificial intelligence engineer salary.
(Source: Glassdoor.com)
Artificial Intelligence Engineer Salary at Top Companies in the US Want to know how much AI engineers make on average at the biggest companies? In this section, we’ll look at the average artificial intelligence engineer salary at top companies.
(Source: Glassdoor.com)
Top companies pay lucrative compensations to artificial intelligence engineers, making it one of the highest-paid professions in software engineering.
FAQs on How to Become an Artificial Intelligence Engineer Q1. How many stages are there in the artificial intelligence engineer interview process?
The artificial intelligence engineer tech interview typically occurs over three stages: the initial recruiter screen, the technical phone screen, and the on-site interview.
Q2. What type of questions are asked at an artificial intelligence engineer tech interview?
Artificial intelligence engineer interview questions are fundamentally around core data structures and algorithms (coding), systems design, and behavioral psychology.
Q3. Which coding concepts should I study to answer artificial intelligence engineer interview questions on coding?
To effectively answer artificial intelligence engineer interview questions on coding, you should prepare these concepts - Arrays, Strings, Linked Lists, Recursion, Sorting Algorithms, Hash Tables, Graphs, Trees, and Dynamic Programming.
Q4. How long should you spend practicing artificial intelligence engineer interview questions and answers to ace the technical interview?
Ideally, you should spend 8-10 weeks practicing artificial intelligence engineer interview questions and answers in coding, systems design, and behavioral psychology if you wish to ace the artificial intelligence engineer interview.
Q5. What is the average artificial intelligence engineer salary in the US?
The average artificial intelligence engineer salary in the United States is $119,297 per year.
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