Who is an AI Engineer?

 

Artificial Intelligence (AI) enables a computer system to imitate human behaviour. Specialized Machines are there to demonstrate this kind of intelligence. It is similar to the natural intelligence that humans or animals can establish. There are several advantages of Artificial Intelligence in today's scenario. An AI engineer creates and manages the AI development and production infrastructure for a business. They focus on developing the tools, systems, or processes to enable AI to work in the real world.

 

Artificial Intelligence Engineers are in demand in many sectors. AI engineers play a crucial role in any business by making a strategy. Read on to find the work, scope, and salary of an AI Engineer in 2023.

 

 

What Do Artificial Intelligence Engineers Do?

 

In the process of artificial intelligence (AI), machines learn from past data and activities. They can be positive or negative. Using this information, the machine can perform corrections so that the problems don't reappear. They can also make essential adjustments to handle new inputs. In the end, the machine can perform human-like tasks.

 

Artificial Engineers are responsible for AI development and production infrastructure. Here are some common tasks and responsibilities of an AI engineer:

 

•  They can create and manage the development and production infrastructure for AI.

 

•  AI engineers perform statistical analysis and interpret the results. The results are useful in guiding and optimising the organisation’s decision-making process. They help determine what business processes can A.I. practices can improve.

 

•  They work to automate AI infrastructures for the data science team.Together, they create and maintain the A.I. development process and the infrastructure.


•  Applying NLP techniques to text and voice transcripts. It pulls insights and analytics from this data.


•  They build and maintain chatbots that can interact with customers.


•  Can develop AI-driven solutions mimicking human behaviour. Such solutions accomplish repetitive tasks done by people.


•  They are also capable of building AI models from scratch.They help product managers and other stakeholders with analysis and implementation. An AI engineer coordinates with business leaders and software development teams.  


•  They can transform machine learning models into APIs. It can be then integrated with other applications.


•  An AI engineer collaborates across teams to help with AI adoption.


•  They Apply machine learning techniques for image recognition.


•  Can simplify the machine learning process so they can interact with other business applications using APIs.


•  Are able to build recommendation engines for applications like shopping sites.

 

Simply put, an AI engineer uses software engineering and data science to simplify a business with automation. Many A.I. Engineer's tasks are similar to that of a Machine Learning Engineer. 

 

 

Also Read: Artificial Intelligence Tutorial for Beginners

 

 

What Are The Required AI Engineer Skills?

 

Freshers or professionals who want to become AI engineers should be aware of the skills required in this field. Some of the skills are:


•  Programming 

 

Programming is one of the basic skills required to become an AI engineer. Learning programming languages, such as Python, R, Java, and C++ will help build and implement models in the industry. 

 

•  Strong Communication

 

One should be good in communication skills because some of the teammates they work with do not understand much of what they do. They have to explain the results of their analysis in a manner that everyone can understand.


•  Mathematics And Statistics 

 

One must know probability, linear algebra, and statistics.
It helps in understanding and implementing different AI models. 

 

•  Big Data Technologies 

 

AI engineers work with huge data. So they must know Apache Spark, MongoDB, and Hadoop to manage it all. The data could be streaming or real-time production-level data. For such data, Spark and other big data technologies are useful to make sense of it. 

 

•  Algorithms And Frameworks 

 

Knowledge of machine learning algorithms like KNN, linear regression, Naive Bayes, and others work helps in implementing machine learning models. Moreover, for AI models with unstructured data, deep learning algorithms are useful. Some of the frameworks useful in artificial intelligence are Theano, PyTorch, TensorFlow, and Caffe.

 

Artificial Intelligence Jobs

 

An AI engineer is expert in making AI models using ML algorithms and deep-learning neural networks. Their job involves drawing business insights, to make business decisions affecting the entire organisation. According to set goals, they also create weak or strong AIs. 

 

AI engineers have a deep understanding of programming, data science, and software engineering. They apply tools and techniques to process data and develop and maintain AI systems.

 

Additionally, they can also build different types of AI applications. From contextual advertising and visual identification to language translation, they support you in everything. Now AI enthusiasts are using professional certificate programs to master the skills they need and prepare for interviews.

 

AI Engineer Salary

 

Freshers or individuals with little to no experience in a field must get a certification to get a reasonable salary in the beginning. The good news is that people get hired every day for jobs with no experience in AI as an intern or fresher. However, there are many ways to enhance your resume to land a job. For AI engineering jobs, you have to highlight specific projects you have worked on during training or certification. It will help you demonstrate your broad understanding of AI engineering.

 

Once you apply for jobs, you may get an interview call. Even if you don't get any response, don’t be discouraged. Artificial Intelligence is an in-demand career field and companies can receive hundreds of applications for a single job role.

 

Moreover, preparing for any interview needs practice and preparation. For tech jobs like AI engineering, you need to be in touch with the latest trends either in the form of online courses or internships. One must brush up on interview skills, to prove to hire managers that they are perfect for the job. An interviewer may ask to explain the reasons for developing, deploying, and scaling certain algorithms. Such interviews can be very technical. Hence clearly explain how you will resolve a problem and why you chose to solve it that way.

 

Here is the expected salary structure for an Artificial Intelligence Engineer in 2023:

 

•  AI Engineer salary in India lies between INR 3.0 Lakhs to INR 20.0 Lakhs
•  One may expect an average annual salary of INR 7.6 Lakhs. 
•  Fresher AI Engineer salary in India ranges between INR 2.0 Lakhs to INR 17.8 Lakhs.
•  At the initial stage, you may expect an average annual salary  INR 4.5 Lakhs. 

 

The recruitment rate for artificial intelligence specialists such as engineers has grown 74 percent per annum for the past four years (LinkedIn’s 2020 Emerging Jobs report). 

 

Conclusion

 

Artificial Intelligence Engineer is an interesting as well as in-demand job. You may earn up to 20 Lakhs INR after gaining experience. All you need is a thorough knowledge of AI, Big Data along with skills like programming, statistics, mathematics, and more. Once you clear all the rounds, the sky is the limit for your career growth. 

 

Enrol In The AI Engineer Course!

 

To master Artificial Intelligence, look for courses offered by E & ICT Academy IIT Guwahati. Learn Deep Learning, Machine Learning, and Edge AI with experts. Artificial Intelligence is a broad field, and learning Deep Learning and Machine Learning basics with AI is a great start.