Introduction

 

The use of technologies like artificial intelligence has grown in recent years. Our lives are affected by these artificial intelligence applications, which range from self-driving automobiles to healthcare. AI creates intelligent systems and software based on how human minds reason, learn, make decisions, and solve problems. AI lets robots learn via experience and carry out tasks like those of humans. The future of AI appears to be brighter than any other job at the moment. 

Artificial intelligence is thus a lucrative employment field that will aid job seekers in advancing their professional prospects.



 

Job Roles In Artificial Intelligence



The goal of an artificial intelligence engineer is to create intelligent algorithms that are capable of learning, analyzing, and forecasting future occurrences. Their job is to build machines that can reason like the human brain.

To create computer programs with the same cognitive capabilities as humans, the AI engineer must first research how the human brain works.

 

Engineers that specialize in artificial intelligence can choose from several AI-derived specialties, including Machine Learning and Deep Learning. Deep Learning works on the basis of neural networks, whereas Machine Learning works on algorithms and decision trees.

 

 

Our Learners Also Read: AI vs Data Science: Mapping Your Career Path

 

 

10 Most Demanded Job Roles in Artificial Intelligence



 

1. Big Data Engineer

 

Building an ecosystem that will enable business systems to communicate is the responsibility of a big data engineer.

 

Job Role: Their main responsibility is to manage an organization's big data. They must also perform the task of extracting results from massive data.

 

Average Annual Salary: 8.0 LPA


 

2. Machine Learning Engineer 

 

It is well known that Machine Learning (ML) is a subset of Artificial Intelligence. It runs simulations and produces trustworthy results using the many data sets available.

 

Job Role: The creation and upkeep of self-running software that aids machine learning projects is the responsibility of machine learning engineers.

 

Average Annual Salary: 6.5 LPA



3. Data Scientist

 

The field of artificial intelligence is quite lucrative, and the number of job roles has expanded since the introduction of various certificate programs in the field.

 

Job Role: Data scientists aid in gathering pertinent information from many sources to analyze and make useful conclusions. The results drawn apply to many different business-related problems. Data scientists make forecasts using data patterns as well as current and historical knowledge.

 

Average Annual Salary: 10.0 LPA



4. Robotics Scientist

 

Robots can automate jobs, but for them to operate, programmers must work behind the scenes. Robotics is useful in many different disciplines of science, including security, healthcare, and space exploration. 

 

Job Role: Their main job is to create mechanical tools or robots that can carry out tasks when given instructions by people. They should be comfortable writing and manipulating computer programs. Working with other specialists, and creating prototypes are extra talents needed for this position.

 

Average Annual Salary: 3.5 LPA



5. Business Intelligence Developer

 

A Business Intelligence Developer must take commercial sense into account besides AI. They analyze a lot of data to find various business trends. They do this by getting actual outcomes from simulated data. This is the data that you supply to the AI.

 

Job Role: They support business intelligence solutions by planning, implementing, and growing.

 

Average Annual Salary: 6.0 LPA



6. Product Manager

 

In the realm of Artificial Intelligence, a product manager's role involves collecting data to identify answers to difficult problems. You ought to be able to recognize the problems preventing commercial operations. The following step is to compile large data sets to help with data interpretation.

 

Job Role: The product manager must test the results' commercial consequences after data interpretation.

 

Average Annual Salary: 17.0 LPA



7. An AI Engineer

 

AI engineers are creative problem solvers who create, confirm, and use AI models. They have the skills to manage the AI infrastructure.

 

Job Role: To produce practical AI models, they combine knowledge of neural networks with machine learning methods.

 

Average Annual Salary: 7.1 LPA



8. Research Scientist

 

Those who are performance-exclusive or research scientists can both be placed in the same category. You need to achieve this, but first, you should be learning about Deep Learning and Natural Language Processing. Skills like Advanced-Level Statistics, Computer Perception, and Distributed Computing are also crucial.

 

Job Role: They have reinforcement learning and benchmarked graphical models that won't deteriorate. They are a pro until the next generation surpasses them, they can always turn the tables.  

 

Average Annual Salary: 6.8 LPA



9. AI Data Analyst 

 

An AI data analyst's major responsibilities include data cleaning, data mining, and data interpretation. The Cleaned data collect the information essential for data analysis. To avoid impeding the process of data analysis, they delete any extraneous data.

 

Job Role: A data analyst is a professional who gathers and examines data from various business units. They make wise decisions on their own or support other team members and leadership.

 

Average Annual Salary: 7.8 LPA



10. AI Consultant

 

An AI consultant is a specialist who guides businesses and organizations on the development and use of AI-based solutions. 

 

Job Role: Working with clients to know their business requirements and developing specialized solutions. These solutions leverage AI technology to address difficult problems are typical tasks of an AI consultant.

 

Average Annual Salary: 8.6 LPA



 

Enormous Uses of AI 

 

  • Healthcare: Using AI in healthcare makes it easier to diagnose and treat patients.
  • Education: With AI, you can provide a proper learning environment for the pupils.
  • Sports: Athletes can increase their capabilities with cutting-edge AI technologies.
  • Agriculture: AI helps create the ideal farming environment, allowing for the most output imaginable.
  • Buildings: By incorporating AI, construction may be done more safely.
  • Banking: Some advantages of AI include chatbot support, fraud detection, and improved payment ways.
  • Marketing: One can meet the sales target by combining predictive intelligence and ML.
  • E-commerce: Some of the benefits of AI include efficient warehouse operations and fraud detection.



 

Conclusion

 

You must immediately begin assembling your toolkit if you wish to work in the field of artificial intelligence. Getting certifications in areas like artificial intelligence and Machine Learning is a great place to start. The options are infinite with the correct training when you decide to make a career in AI.

 

Join The IoT Academy to improve your technical expertise. You gain a thorough understanding of Python, TensorFlow Deep Learning, and Natural Language Processing.  You will understand concepts like Voice Recognition, Computer Vision, and Reinforcement Learning.