Engineers in the field of AI are in high demand and typically earn six-figure salaries. A software programmer with a technical bent might be interested in learning how to become an artificial intelligence engineer and launch a lucrative career.

Artificial intelligence – what is it?

AI can be a key element in creating smart machines that emulate human intelligence, can learn from previous experiences, and adapt to changes in inputs. It can simplify and improve humans’ operations, such as business processing control, voice recognition, and image processing.

It is believed that the majority of AI applications of today — from autonomous cars and computers to playing chess games rely extensively on natural processing of language and deep learning. These tools can teach computers to perform specific tasks by processing huge data and discovering pattern patterns within the data.

As well as analyzing information quicker, AI can spur more imaginative thinking about how to use data by offering answers to questions humans might not have thought of.

What do AI engineers do?

AI engineers design programs and train complex algorithms that comprise AI to make the algorithms function like human brains. Artificial Intelligence engineers need to be skilled in software development, data science, programming, and data engineering. They collect and extract data from many sources, develop, build and test models for machine learning, and then design and deploy AI applications by integrating software and application program interface (API) calls.

What is the role of AI engineers?

AI engineers create Artificial Intelligence models that employ machine learning algorithms and deep-learning neural networks to gain business insight. The responsibilities of Artificial Intelligence engineer’s job responsibilities are the following:

• Create AI models from scratch and assist stakeholders within the company, such as the product managers and users know what results in the models can produce.
• Analyze statistical data and analyze the results to assist the business in making more informed business choices.
• Manage and create Artificial Intelligence technology development as well as infrastructure.
• Create data transformation and ingestion infrastructures.
• Automate the infrastructure that is used by the team working on data science.
• Create machine learning-based applications according to the requirements.
• Test your knowledge with Artificial Intelligence as well as machine-learning exercises and tests.
• Retrain and train systems as required.
• Transform models from machine learning into APIs so that other applications can communicate with them.
• Tasks to coordinate together with the other team members in Artificial Intelligence. Coordinate tasks with other members of the AI Team.
• Work with the department of robotics and electronics.

How do AI engineers acquire the necessary skills and education?

Artificial Intelligence engineers require an array of technical as well as non-technical skills in business.

Technical abilities:

• Expertise in math, statistics, or algebra to use algorithms and understanding probabilities to work with AI’s commonly used machine learning models, including Naive Bayes, the Hidden Markov, and Gaussian mixture models.
• Expertise in popular programming languages like Python, C++, Java, and R to create and implement Artificial Intelligence models.
• An understanding of solid algorithms and applied mathematics to construct models, alter and apply Artificial Intelligence models.
• A good understanding of natural language processing combines computer science, information engineering, linguistics, and AI in one machine and the ability to program the machine to analyze and process huge datasets.

Business skills that are not technical:

• The ability to communicate the project’s goals, timelines, and expectations to the various stakeholders, such as Data scientists and data analysts, software engineers, research analysts, marketing managers, and product teams.
• The ability to consider the implications of your thinking think creatively and analytically, solve issues in real-time, and evaluate trends, numbers, and data to draw conclusions based on the findings. Examine traditional business practices and propose different methods for an Artificial Intelligence process.
• The ability to function in a cooperative and supportive workplace.
• Have business acumen and expertise in the industry.

Education:

• A bachelor’s degree is required in any field closely related to Artificial Intelligence computer science, data science, IT, or statistics.
• Master’s degrees (though usually not required) in a field such as data science, cognitive mathematics science, or computer science.
• Participation in other Artificial Intelligence-related classes and certificates programs.

How much does an AI engineer make?

According to ZipRecruiter, the average salary for an AI engineer in the U.S. was $164,769 as of July 2021. In the U.S, Artificial Intelligence engineer salaries can be as low as $90,000 and as high as $304,500, while most Artificial Intelligence engineer salaries currently range from $142,500 to $173,000, with top earners in the U.S. earning $216,500.

AI engineers can pursue a variety of careers:

IT professionals who work as Artificial Intelligence engineers give companies valuable insight into the future and crucial business decision-making. Numerous industries utilize AI technology in a wide range of ways, such as the following:

• Companies that provide financial services analyze the behavior of their customers to identify fraud and suspicious activities.
• Manufacturers revise their supply chains and schedule regular maintenance to ensure that their products are produced safely, efficiently, and cost-effectively.
• Healthcare organizations automate processes to increase patient satisfaction and cut down on the amount of time and expense related to the development of pharmaceuticals.
• Companies gain valuable insights into customers’ behavior, their sentiments, and buying patterns that can help improve customer service.

Are there courses and certifications available for AI engineers?

• Artificial Intelligence Graduate Program by Stanford University School of Engineering.
• Artificial Intelligence for Everyone by Andrew Ng (Coursera).
• IBM Applied AI Professional Certificate (Coursera).
• Introduction to TensorFlow for Artificial Intelligence, Machine Learning and Deep Learning (Coursera).
• Artificial Intelligence A-Z: Learn How to Build an AI (Udemy).
• Artificial Intelligence Course: Reinforcement Learning in Python (Udemy).
• Master the Fundamentals of AI and Machine Learning (LinkedIn Learning).

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