How to Become an Artificial Intelligence Engineer 2023

École polytechniqye fédérale de Lausanne (EPFL) is one of the top public universities in Switzerland and focuses entirely on natural sciences and engineering. With options to study a bachelor’s or master’s programme in electrical and engineering, students can combine the fields of energy and information to advance the technology that impacts our daily lives. Ranked sixth in the world for data science, UoT provides training in machine learning as a core part of the programme, but students can also choose to take a secondary major in artificial intelligence. Data scientists work to create interfaces and mechanisms to help access and manage information. A degree in this field often combines data analysis with machine learning, statistics and mathematics. On the bachelor’s programme, students can choose elective modules including an introduction to machine learning, rigorous software engineering and algorithms and probability.

Bachelor’s Degree Programs

The first step to pursuing a successful career in AI is to earn a relevant bachelor’s degree. A degree in computer science or engineering prepares graduates for entry-level positions in AI, software engineering, security, and more. Experimenting with different models can also help AI engineers discover what they enjoy working with the most. ZipRecruiter reports that the average salary of an AI engineer is upwards of $158,000 a year, with top earners offered as much as $288,000 annually. Many companies employing these professionals also offer attractive benefits for these positions. AI engineering is a reasonably future-proof career, as AI is only becoming increasingly important to everyday life.

Considering a Master’s in Artificial Intelligence?

These programs often include courses in computer science, mathematics, statistics, engineering, and artificial intelligence. For more advanced work in the profession, a master’s or PhD in one of these disciplines may be required. Machine learning engineers should have a bachelor’s degree whether earned online or in person in computer science, software engineering, or information technology.

Stay curious, embrace challenges, and keep up with the latest trends to stay at the forefront of AI innovation. Other high-paying AI roles include machine learning engineers ($114,967), database architects ($136,540), software developers ($132,930), and data scientists ($115,240). Ultimately, you can pursue a master's degree in artificial intelligence, machine learning, or data science. Moreover, most companies will require a degree before considering you for employment.

Get a Computer Science or IT Degree, Specializing in Artificial Intelligence

And in the constantly developing field of AI, artificial intelligence engineers build automated frameworks to improve performance in just about every industry. Engineers build on a solid mathematical and natural science foundation to design and implement solutions to problems in our society. However, few programs train engineers to develop and apply AI-based solutions within an engineering context. From a career outlook standpoint, an AI degree prepares students for several in-demand, high-earning jobs, including artificial intelligence engineers, computer and information research scientists, and data scientists.

Machine learning is currently the most practical form of AI engineering, although strides are being made in deep learning and other subsets of AI. A machine learning engineer builds systems that are capable of learning from big data and using this knowledge to make predictions. Machine learning engineers use AI and large data sets to develop learning algorithms. With each operation, the system gathers new data to help it carry out future operations. An ML engineer can optimize the learning process by collecting, organizing, and analyzing data and performing tests on the AI system.

How to Become an AI & ML Engineer: Roles, Responsibilities & Salaries

The next section of How to become an AI Engineer focuses on the responsibilities of an AI engineer. Look For Opportunities in Unexpected Places

While Silicon Valley may be calling your name, in this tech-driven age there are opportunities everywhere. From government agencies to nonprofit organizations and small start-ups, there’s no shortage of opportunities available to those who keep an open mind. Tech giants are always an option, but your services may be just as needed, and perhaps even more appreciated, elsewhere. Search for positions in a variety of settings to improve your chances of being hired. If and when the time comes to look for your next job, remember to keep your search broad.

• According to Glassdoor, the average salary for AI engineers in the US is $114,121 per year as of 2020.
• Offering a quality course, coupled with an introduction to a real-life aspect of the industry, we introduce AI and ML Blackbelt+ Program.
• You can also find more resume, portfolio, and interview tips at our Career Center.
• Artificial intelligence (AI) refers to computer software that enables machines to mimic human cognitive functions, including decision-making and language translation, and uses real-time data to adjust responses and performance.
• Artificial intelligence engineers are expected to have a bachelor’s or master’s degree in computer science, data science, mathematics, information technology, statistics, or finance.

It's also good to have a few years of work experience in machine learning, software design, data engineering, or a related field. Machine learning engineers use artificial intelligence to help their companies solve problems. Whether it's creating fraud detection or speech recognition software, machine learning engineers' projects are crucial to businesses' success. Those interested in the AI career path can also look at AI online certificate programs, which offer training in essential AI engineering concepts and can give candidates a competitive edge in the application process. With this option, an aspiring AI engineer can master the basic concepts and programming languages of AI.

Learning Resources and Online Courses

Available online and in person, bootcamps provide live lectures and hands-on projects to facilitate skill development. Future artificial intelligence professionals can pursue several degree paths for studying AI, including certificate programs, bachelor's degrees, and doctoral degrees. Even within these industries and specializations, the AI engineer role can vary. They may work as research scientists in AI, robotics engineers, program developers, or machine learning scientists. They can specialize in human-computer interactions, human vision, or business intelligence.

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