Analyzing the role of an AI engineer: Prospects, pathways, and functionalities in the digital domain

Analyzing the role of an AI engineer: Prospects, pathways, and functionalities in the digital domain


Artificial intelligence is a field of science that helps different types of machines and automated systems to acquire the power of human intelligence. In the present times, the applications of artificial intelligence are growing by leaps and bounds. Ranging from healthcare and education to retail and manufacturing, the expansion of artificial intelligence is gradually acquiring a rapid acceleration. As such, the demand of engineers is growing and ai training is becoming extremely popular among the new entrants in this field. This article is aimed at understanding the role of an AI engineer in greater detail.

The AI pathway

In order to become an AI engineer, it is necessary to acquire knowledge about the fields of deep learning, machine learning, neural networks and the like. In addition to this, AI engineers need to collaborate with other professionals from interdisciplinary fields. This means that they should also process soft skills and be able to communicate and collaborate with team members with a lot of ease. One of the most popular myths in the journey of becoming an AI engineer is the complexity of data modeling and advanced mathematics involved with it. However, it needs to be noted at this point in time that AI engineers need to be equipped with selective knowledge from the fields of advanced algorithms, data acquisition, data modeling, data structures, machine learning, and operations research. The knowledge of these fields can be easily acquired in the span of 4 to 6 months. Various online platforms have become the first choice of AI engineers when it comes to AI training. In the course of the present pandemic, the online platforms that are dedicated to AI training have proliferated in the long run. In addition to this, these platforms are offering different courses related to artificial intelligence supplemented with augmented and immersion learning. This is especially helpful for those engineers who work on different types of interdisciplinary projects remotely.

The functionalities of an AI engineer 

An AI engineer is tasked with the job of planning and management of various processes to develop AI based solutions. AI engineers also need to collaborate with the design and manufacturing team to give a final shape to AI based products. The automation of different types of processes also falls under the domain of an AI engineer. The interpretation and analysis of results that help in deriving insights from unstructured data sets and other data products  is also the responsibility of an AI engineer. This not only helps the organisations in deriving concrete results from quantitative data sets but also helps in strategizing the decision making processes. An AI engineer also helps the teams in dealing with application programming interfaces and aids other teams that are involved in the testing and deployment of applications.

Concluding remarks 

The three basic skills of programming, statistics, and algorithms need to be supplemented with soft skills like effective communication in order to become a recognised AI engineer. The salary of an AI engineer averages 9 to 12 lakh per annum depending upon the area of expertise as well as the professional experience. Overall, this is one of the best professions when it comes to future prospects and scope in the digital market. 

Ranny Watson