The AI Engineer: Roles, Responsibilities, and the Future of Artificial Intelligence by Nilimesh Halder, PhD – Cubiertas S.A.S
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The AI Engineer: Roles, Responsibilities, and the Future of Artificial Intelligence by Nilimesh Halder, PhD

29 mayo, 2023

What Is an AI Engineer? IT Career Center

what is ai engineer

In the United States, the average salary for a Big Data engineer is around $132,922 per year. Artificial Intelligence is the core of the technology industry and is growing more competitive. AI, the driving force behind computer vision, voice analysis, robotics, and Natural Language Processing (NLP), has tremendously impacted the industry and is projected to do so in the decades to come. Generative neural networks optimized and ready to work, enabling an AI engineer to become her/his “Company Hero”. A design engineer works in the conception or amelioration of an industrial product.

AI engineering can vary in difficulty depending on your background, experience, the complexity of the projects you’re working on, and the specific subfields of AI you’re going into. Data analysis and preprocessing, for example, might be easier to do than building deep learning architectures, which requires deep expertise, or doing AI for Healthcare or Finance which is more high stakes. AI engineers need to have a solid understanding of mathematics, because it forms the foundation upon which artificial intelligence and machine learning algorithms are built.

How to Become an Artificial Intelligence Engineer

The future is all AI, and it’s exciting to be at the forefront of a career like this, especially with such promising job prospects and interesting new problems to solve. Most universities and colleges offer programs that teach foundational computer science and other electives to build a foundation. As of 2023, Glassdoor has shown the national average salary for AI Engineers is $114,121, with a low of $78,000 and a high of $150,000.

Good Artificial Intelligence Engineers are just in too much demand to require a degree, and employers have learned that many skilled A.I. Engineers has always been high, so expect job openings and pay to increase in the future. The U.S. Bureau of Labor Statistics expects all Software Developer jobs to increase by 22% over the next decade, and this includes A.I. “Artificial intelligence can be described as when machines carry out tasks in an intelligent or smart way, based on set rules to solve certain problems.


While having a degree in a related field can be helpful, it is possible to become an AI engineer without a degree. It is important to have a solid foundation in programming, data structures, and algorithms, and to be willing to continually learn and stay up-to-date with the latest developments in the field. Machine learning, or ML engineers build predictive models using vast volumes of data.

  • The priviliged educational background is usually mathematics, computer science or an engineering degree.
  • This is a person who can produce end-to-end scalable machine-learning-applications that derives business value for the company.
  • This hands-on experience helps you refine your skills and learn from the AI community.
  • Professionals in data science and AI engineering need various technical skills in order to excel in their roles.
  • Usually, a data scientist role involves the utilization of statistics, mathematics, design, and communication skills to solve a business problem.

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. They have a deep understanding of machine learning algorithms and how to implement them in production. AI engineers also work on the underlying infrastructure that powers AI systems, such as data pipelines, cloud computing platforms, and machine learning frameworks.

Business Studies

However, the most exciting and successful stories are the ones including the production of user-tailored bespoke solutions, reachable by all non AI experts at the click of a button. An AI engineer or simulation expert could of course work disconnected from her/his colleagues or customers in the design departments. The point of contact between Design Engineers and an Artificial Intelligence engineer is a software platform such as NCS Expert. Around 70% of the time is spent gathering and organizing data before even beginning to solve the actual problem at hand. The three stages of an AI system are Data Preprocessing, Model Building, and Deployment.

what is ai engineer

Interns also experience a broad range of specialization options before choosing the path that best fits their passion. Further, employers prefer AI engineers with an internship opportunity within a busy context. Beyond having a degree, you also need to have a hunger for additional skills.

Step 1: Obtain a Bachelor’s Degree in Computer Information Science

With more than 9,000 contractors and over 60 offices worldwide, our expertise and extensive network can connect you with the best opportunities and ensure that you land your dream job. So don’t wait any longer; take the next step towards your AI engineering career with us. The goal is to find the best-fitting line that minimises the difference between the predicted and actual values. This process involves estimating the model’s parameters using techniques such as the least squares method. A not-for-profit organization, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.© Copyright 2023 IEEE – All rights reserved.

what is ai engineer

AI engineers need to be proficient in basic programming languages such as Python, Java, Scala and C. Yes, AI engineers are in high demand due to the growing demand for AI technologies in various industries. According to the Bureau of Labour Statistics, Artificial Intelligence engineers’ career growth is anticipated to be at least 31.4% by 2030. The Bureau of Labor Statistics estimates there will be 11.5 million data-related job openings by 2026. The demand for AI research scientists is expected to grow by 19% by 2023 and for robotics engineers is expected to grow by 9% by 2023.

How long does it take to become an AI engineer?

The job of an AI prompt engineer is to develop a set of inputs and train the models to produce the best and desired outputs back to the user. Artificial intelligence engineers are in great demand and typically earn six-figure salaries. An individual who is technically inclined and has a background in software programming may want to learn how to become an artificial intelligence engineer and launch a lucrative career in AI engineering. Yes, AI engineers are typically well-paid due to the high demand for their specialized skills and expertise in artificial intelligence and machine learning. Their salaries can vary based on experience, location, and the specific industry they work in, but generally, they command competitive compensation packages.

what is ai engineer

Two of the most important technical skills for an AI engineer to master are programming and math/statistics. Most of the above degrees have some relevance to artificial intelligence and machine learning. AI engineers are regularly asked to review and evaluate important information. To try to do this adequately, you’ll necessitate to analyze information, develop insights and brainstorm for possible solutions.

Choose the Right Program

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Can I become AI engineer without a degree?

Yes, it is possible to become an AI Engineer without a formal degree. While a degree can provide a strong foundation in relevant concepts, skills, and theory, the field of AI is highly practical and constantly evolving. Employers in this field often prioritize practical skills and experience over formal education.

Which job is best in AI?

  • AI product manager. An AI product manager is similar to other program managers.
  • AI research scientist.
  • Big data engineer.
  • Business intelligence developer.
  • Computer vision engineer.
  • Data scientist.
  • Machine learning engineer.
  • Natural language processing engineer.

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