AI has become highly persistent and consequently, the majority of people want to develop skills in this sought-after field.

Although certain job descriptions are introduced in the fastest way regular basis, a new job role has emerged – the “AI Engineer”.

According to the U.S. Bureau of Labor Statistics, computer and information research scientist jobs including AI Engineer are expected to increase by 21% from 2021 to 2031.

Well, this job percentage is higher than the average for every other occupation.

Want to know about this emerging job category, delve into this blog to gain insights related to this field. Know the AI engineer skills needed and ways to become the one.

Who is an AI Engineer?

An AI engineer is an IT specialist who designs and applies specific algorithms to help businesses learn, analyze, and make future predictions.

A common AI engineer job description covers the following points:

• Ability to develop AI models using deep learning, and ML algorithms to gain business insights and improve decision-making.
• Good knowledge of software engineering, programming, and data science fields.
• Familiarity with many tools and methods to process data.
• Ability to develop AI applications such as language translation, etc., and targeted advertising on the basis of sentiment analysis.

Required Skills For AI Engineer

A prospective artificial intelligence engineer must have a firm grasp of the abilities needed to prosper in this field. These abilities usually involve both technical and soft skills.

• Know-how of computer languages such as R, Python, C++, and Java, to develop models.
• Must have a good understanding of probability, linear algebra, and statistics to comprehend multiple AI models.
• Having familiarity with Apache Spark, MongoDB, Hadoop, and other big data technologies.
• Understanding of deep learning algorithms. Know how to implement them with the help of a framework to build AI models utilizing unstructured data.
• Besides technical skills, AI Engineers also must have soft skills which include: problem-solving abilities, decent communication, teamwork, time management, and critical thinking.

Gaining these many skills is not possible through a degree, you’ll need to take the AI Engineer Certification program for better learning.

How This Job Category Differs From Other AI Jobs?

Artificial intelligence (AI) engineer, also known as machine learning (ML) engineer, is a relatively new job role that is gaining popularity.

In reality, in recent years, AI and ML developers have begun to appear on lists of the most prominent job roles to employ, though other profiles like software engineer, full stack developer, and product manager continue to top the list.

Regardless of the pace at which the AI and ML engineer roles have earned popularity, AI engineers’ skill sets are indistinguishable from those of software engineers.

In most cases, AI engineers are defined as people who can effectively integrate software engineering skills with knowledge of machine learning.

Software engineers are likely to comprehend the entire software development as well as the sustainment lifecycle. Whereas, AI engineers are anticipated to contribute to that lifecycle by building specialized components which take reap the benefits of AI.

Want this job? – Know the Effective Ways to Get Started

The simplest way to get started is to gain awareness about this field. To start with, you can follow the below-given career path:

• Educational Qualification

A bachelor’s degree in computer engineering, information technology, data science, or statistics is required for entry-level AI engineers. After getting a Bachelor’s Degree in Computer Science, you can take the next step to earn a Master’s Degree in Artificial Intelligence.

• Experience Requirements

After earning the degree, you can get into the entry-level roles. If you are already in this field, you can hunt for senior-level job roles to grow in your career. The following are the AI engineer experience pre-requisites, based on the role:

• Junior AI Engineer

Candidates must have at least two years of relevant industry experience to apply for this position.

• Senior AI Engineer

Aspiring senior AI engineers must have at least five years of relevant industry experience.

• Certifications

As stated above, AI Engineer Certificate programs are a great approach to gaining an edge in an AI engineer career. Below is a list of a few general AI engineer certifications for your reference:

1. Certified Artificial Intelligence Engineer (CAIE™) by USAII®:

This is a perfect course by USAII® for those who want to uplift their starter skills in AI Engineering.

The program is specifically designed for professionals who are preparing to become Artificial Intelligence Engineers in the job market. This course helps candidates improve their AI skills with the help of AI-based projects around the globe.

CAIE™ certification is effective enough to prove your aptitude, and expertise in the evolving AI & ML field. You’ll become a Certified AI Engineer and see more opportunities coming your way.

The CAIE™ program curriculum is curated by the top 15 SMEs and industry leaders in the AI domain. The program expects that you will learn Python, machine learning algorithms, deep learning foundations, AI on the Cloud, machine learning pipelines, NLP fundamentals, Tensorflow, and other topics.

2. Machine Learning Certification Program (Google Cloud):

A Machine Learning Engineer plans, develops, productionizes, improves, runs, and maintains ML systems. This program provides you with real-world, hands-on experience through Google Cloud technologies important to the ML Engineer role.

After the completion of the training program, you can take Google Cloud Machine Learning Engineer certification test online to move ahead in your professional journey.

3. Microsoft Certified: Azure AI Engineer Associate

Azure AI Engineer Associate by Microsoft helps you develop, manage, and implement AI solutions such as Azure Cognitive Services and Azure Applied AI services.

Whether you’re just beginner in AI or an experienced professional, this course helps you reach your goals much faster, with great confidence and the best part, at your own pace.

Takeaways

The artificial intelligence (AI) industry is exploding. Companies require A.I. Engineers to install, maintain, and adapt these systems to changing business ecosystem. Developing abilities in these areas, whether it’s fundamental AI literacy or advanced domain specialized skills, is a great way to secure one’s future.