Artificial Intelligence is continuously seeping into our regular lives and becoming a significant part of our days. Our smartphone is power-packed with many applications that use artificial intelligence in one or the other way.
Artificial Intelligence is employed in almost every organization across every industry including banking, finance, investment, retail, eCommerce, transportation, logistics, media and entertainment, and more.
This technology has endless potential to simplify and improve tasks that humans commonly do including business process management, speech recognition, image processing, and diagnosis of diseases.
A report to LinkedIn’s 2020 Emerging Jobs Report, there has been a massive 74% rise in the demand for Artificial Intelligence Specialists in the last four years. The average annual salary of an AI Engineer is around USD 114,121 and the national average wage for the same is INR 765,353, according to Glassdoor.
If you have a tech background and like to build innovative solutions then this career domain is for you. If you wish to become an AI engineer, you can choose to register yourself in one of the best online courses out there in the market.
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Let’s have an overview of the AI Engineer job role and the skills required to become one.
What is an AI Engineer?
An Artificial Intelligence is an IT professional who builds models using machine learning techniques such as neural networks and natural language processing to come up with AI-based applications. These AI models are meant to draw useful business insights that are utilised to make informed business decisions to affect the entire organisation.
On the basis of the goals to be achieved, an AI Engineer is required to build models that may be based on strong or weak AI.
As an AI Engineer, you are supposed to possess an in-depth understanding of software engineering, programming, as well as data science. You will be using various tools and techniques to process the data, develop, and maintain AI systems.
Read below to find out what it takes to become an AI Engineer.
Most Required AI Engineer Qualifications
- A Secondary School Diploma
To enter into the field of Artificial Intelligence, you are first required to obtain your secondary school diploma in the science stream which includes Physics, Chemistry, and Maths. You can include statistics as mainstream as well. With a strong foundation in high school academics, it will pave the way for you to make the AI Engineering career path smoothly.
- An UnderGraduate Degree
You can choose to pursue a B.Tech that lasts four years or B.Sc that lasts three years. You also have an option of pursuing a degree in engineering in a related field that may include information technology or computer science and can take AI as a specialization domain.
- A Master’s Degree
Although you can start building AI models with an undergrad degree, you can always choose to pursue a Master’s degree to improve your earning potential and enhance your competitiveness for a career in AI. This will provide you with a comprehensive knowledge of the domain and specialized technical content. You may be required to pass the GATE (Graduate Aptitude Test in Engineering) exam in order to get into engineering in this field.
- Earn Certifications
To improve your knowledge and skills in AI-related fields, the best way is to participate in diploma or certification programs. You may pursue any of the many degrees available in Artificial Intelligence and Machine Learning. You may acquire certifications at your pace via platforms like that Simplilearn that enable you to work on real-life projects.
- Land Your First Job
Once you have acquired the required skills and expertise in the domain, you can start applying for different positions in the field of deep learning, machine learning, or artificial intelligence.
To enter the field of AI, you should possess at least an undergraduate degree in streams such as Computer Science, Information Technology, Data Science, or Statistics. After attaining a bachelor’s degree, you can head towards attaining a Master’s degree in Artificial Intelligence. Acquiring certifications in the relevant subjects can make you hold a firm grip over the concepts of AI.
Skills Required to Become an AI Engineer
- Programming Skills
The first and foremost skill required to become an AI Engineer is programming skills. It is important to learn some of the most popular programming languages including R, Python, Java, and C++ to develop and deploy AI models.
- Big Data Technologies
AI Engineers are usually required to work with massive amounts of data ranging from real-time production-level data or streamlined. So, you should know well the ways Spark and other Big Data frameworks to identify hidden patterns from this massive data.
- Linear Algebra, Statistics, and Probability
To work with various AI models such as Naive Bayes, Hidden Markov Models, Gaussian Mixture Models, and linear discriminant analysis, you should possess an in-depth understanding of linear algebra, statistics, and probability.
- Algorithms and Frameworks
You should understand how various machine learning algorithms including KNN, Naive Bayes, Linear Regression, Support Vector Machine, and other algorithms work. This will help you develop AI models easily. Also, you should have a sound knowledge of deep learning algorithms in order to build AI models with unstructured data. Some of the frameworks that you are expected to know include TensorFlow, Theano, PyTorch, and Caffe.
Apart from the technical skills listed above, you should also possess some soft skills in order to excel in the field of Artificial Intelligence. Problem-solving is an important soft skill that helps you think creatively and solve problems that arise while building models. Excellent communication skills in both verbal and written modes to convey the concepts you identify or your ideas regarding AI models. Business Intelligence, Time Management, Domain Expertise, and critical thinking abilities are other soft skills that are beneficial for an AI Engineer.
It is clear from the article that becoming an AI Engineer can give you a rewarding and lucrative career in this ever-evolving domain. To fulfill the eligibility criteria and enhance your knowledge and experience, you can enroll yourself in an online training course from an accredited institute such as Simplilearn. It allows you to work with real-life examples to acquire hands-on experience with the tools and techniques involved in building AI models.
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