AI skills and AI jobs to know about before 2023

ByEducation Nest Team

Automated processes have replaced manual ones because of recent AI innovations and the growth of machine learning. Consequently, our lives have been made easier and error-free results are produced whenever we interact with technology. Artificial intelligence (AI) is not only related to Information Technology alone. AI is used in everything, such as self-driving trains, robot servants, commercial chatbots, virtual advisors, etc.

AI refers to the ability of computers or software programs to perform tasks that would normally require human intelligence. AI creates algorithms and computer programs that can learn from and make decisions based on data inputs.

Let’s consider a practical example of AI:

We have all heard of or have used virtual personal assistants, such as Siri or Alexa. These intelligent assistants use natural language processing (NLP) and machine learning (ML) to understand user commands and provide relevant information or complete tasks such as setting reminders, making appointments, ordering products, etc.

For example, if you ask Siri or Alexa to remind you to buy a birthday cake at a specific time, the device will use NLP to understand your request, and ML algorithms to learn your shopping history, habits, and preferences. Then, at the scheduled time, the AI assistant will remind you to buy the cake and can even provide suggestions for nearby stores.

Other examples include personalized recommendations on Netflix, and HotStar, fraud detection in banking, and autonomous cars.

What are the top AI jobs in 2023?

Sambodhi’s top pick for AI jobs:

Machine Learning Engineer:

They are in charge of developing self-contained AI systems that function well without human assistance. Their primary responsibility is automating prediction models. This is a high-demand and lucrative job and will increase in 2023.

Data Scientist:

They assess and examine data, drawing out insightful conclusions that help businesses make wiser decisions. Data science is a rapidly growing field, and data scientists use AI and machine learning techniques to extract insights from large and complex data sets.

AI Product Manager:

AI product managers lead the development of AI-powered products. They work with cross-functional teams, including software developers, data scientists, and business stakeholders, defining product strategy, prioritizing features, and ensuring the product satisfies users’ demands.

Robotics Engineer:

Robotics engineers design and build robotic systems that can operate autonomously or with human supervision. Robots are employed to effectively complete error-free tasks in the field of human identification, healthcare, defense, and space exploration. With the continued growth of automation and robotics, the demand for professionals in this field will increase.

Natural Language Processing (NLP) Engineer:

NLP engineers implement machine learning and AI to develop systems that can understand and process human language. They are responsible for designing and deploying algorithms that can understand the meaning and context of text and speech, enabling applications such as chatbots, virtual assistants, and sentiment analysis.

Business Intelligence Developer:

They are in charge of creating, organizing, and maintaining the business interface. They arrange company data, draw insights from it, closely monitor market trends, and help businesses make money. Also, they are in charge of preserving complicated data on cloud-based platforms.

What are the required skills to become a successful AI Engineer?

The following diagram shows the required technical skill sets to make a lucrative career in AI.

You need sound non-technical skills as well to become a successful AI Engineer.

Conclusion:

It is important to note that some jobs may be replaced by AI. These include routine and repetitive jobs, such as data entry, customer service jobs, transportation and delivery jobs, manufacturing jobs, etc. However, jobs that require creativity, critical thinking, and emotional intelligence are less likely to be replaced by AI. In addition, there will be a need for professionals who can design, build, and maintain AI systems. The average salary of AI Engineer in India is INR 7.8 LPA.

Sambodhi provides an Artificial Intelligence course that includes a robust syllabus of theoretical, practical, and case-study-based programs. Register with Sambodhi and broaden your skills and knowledge about AI. This will ensure your smooth transition in the AI domain. Enroll with us today and grab your dream job!

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