Artificial Intelligence, or AI, is the technology that allows machines to learn, adapt, and perform human-like tasks. AI and machine learning can provide invaluable insights to businesses and help them drive strategies and develop competitive advantages.
An AI engineer performs a unique role in an organization that includes a mix of data science and software development. Unlike a data engineer that traditionally writes code, an AI engineer builds model blueprints and test machine learning models to be used for AI applications.
To become an AI engineer, you must have experience with machine learning algorithms, programming, data science, and statistics. This generally requires a degree in IT, data science, statistics, or computer science. It is also essential for an AI engineer to be proficient in programming languages such as Python, C++, Java, and R.
AI engineers must understand machine learning, including building models, training and validation, and feature engineering. They can analyze and process large sets of data and are the ones who decide when a model is ready for deployment. They will then monitor the accuracy of a model over time and determine if and when it needs to be replaced or retrained.
According to a study by Gartner, AI is expected to create business valued over $3.9 trillion by 2022 and will most likely be the most significant disruptor in the technology category. Decision automation systems are expected to grow by 14% in the next few years, so the demand for AI engineers is only going to increase.
AI engineers develop machine learning models and work with different infrastructures like GPUs and the cloud. They also help safeguard a firm’s computer networks and operating systems.
AI engineers collaborate with software engineers and web developers to integrate AI into business applications, websites, and software – areas that are vital to success in a technology-driven environment.
At LogicPlum, we offer an automated machine learning platform that puts you in control of some of the most sophisticated data models in the industry. We augment our user’s ability to analyze data, and this can help you discover opportunities in your business.
We understand that it is difficult and expensive to find a good AI engineer. According to Glassdoor, there are over 32,000 open positions that relate to AI, and the average salary of a machine learning specialist is a staggering $144,000 per year. Our goal is to be a resource for analytics and business professionals in the AI space and provide products and managed services that get the job done but do not break the bank.