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Artificial Intelligence offers lucrative career opportunities because of the increased demand in this industry. A plethora of jobs are justified in this specific sector, and it has become more promising than any other field.
What is artificial intelligence?
Artificial intelligence is all around us, even in places you don’t know about. From music preferences to home appliances and healthcare, the power of intelligence is profound. But first, let’s examine the basics of artificial intelligence using the definition from Investopedia.
Artificial intelligence is the simulation of human intelligence in machines designed to think like humans and act according to their Behavior. The term can also be used for any machine that exhibits features related to the human mind, such as learning or problem-solving.
Examples of AI include
- Siri Alexa, which provides music and entertainment well for personalised commentary
- Smart assistants like Pandora and Netflix
- Chatbots
- Robot vacuum cleaners
- Autonomous Vehicles
- Facial Recognition Software.
These are just a few of the many applications and many examples. It goes without saying that AI is everywhere, and the need for AI (especially professional and experienced AI) is increasing. Bernard Marr, a business and technology expert for government and corporations, told Forbes that we now have access to more information than ever before, which means intelligence: Intelligence is smarter, faster and more accurate.
A very simple example is Spotify’s recommendations,” he explained in the article. – The more music (or podcasts) you listen to on Spotify, the better Spotify can recommend other content you are interested in. Of course, Netflix and Amazon’s recommendations work the same way.
What Job Opportunity options are available?
Before knowing about the best job opportunities in this sector, it is essential to understand what AI actually is. Before someone dives into this field, they should know that a user must fulfil a company’s technical requirements.
Many AI enthusiasts are there who would like to possess the technical skills to fulfil all requirements. So, let us know about the best career opportunities in Artificial Intelligence.
Career Opportunities in Artificial Intelligence
Big Data Engineer:
Big Data engineering is one of the best career opportunities in Artificial Intelligence. The primary role of a Big Data Engineer is to create an ecosystem for the business systems to interact efficiently. They will make and effectively administer the big data of an organisation.
A Big data Engineer also gets a higher salary than other AI roles. Their average salary (in rupees) is Rs. 8.7 LPA. So, a job in the AI sector can give massive career growth opportunities.
Knowledge of programming languages such as Python, R, and Java is essential for a career in AI as a prominent data engineer. The aspirants should be good at data migration alongside data visualisation and mining.
Business Intelligence Developer:
The Business Intelligence Developer is responsible for observing business trends by assessing complicated data sets. This process involves utilising pre-fed simulated data to generate tangible outcomes through AI.
This approach significantly enhances brand recognition and awareness more robustly. It boosts profits by crafting, building, and nurturing business intelligence solutions.
Business profitability and efficiency are the critical factors they develop and consider. Someone with computer programming and data sets knowledge can acquire this position.
A bachelor’s degree in computer and knowledge of mathematics or engineering is mandatory to apply for this position. Some other skill sets, such as SQL servers and data warehousing design, are needed to pursue this position.
The average salary of a Business Data Engineer is Rs.6.6 LPA, which is less than a Big Data Engineer. But there are vast opportunities for improvement in this sector.
Data Scientist:
Data Scientist gathers data from different sources to gain constructive interferences. They have the role of finding out the root cause and all the drawbacks that are caused in the business. They need to figure out the best ways to mitigate and restrict them from happening in the future.
The role of a data scientist highly impacts the business’s performance. Jobseekers must acquire numerous other skills, such as Spark and Hadoop, to pursue this career option.
Regarding education, the applicant should have a Master’s Degree in Mathematics or Computer Science. Any other degree will provide additional benefits for getting a job. The experience and knowledge of machine learning is mandatory.
Data scientists should possess communication skills to remain outstanding in this field. Their analytical abilities should be unique. Many technical firms need Data Scientists for the growth of their company.
Machine Learning Engineer:
Machine learning Engineering is a natural subset of artificial intelligence. The machine learning engineers have the role of building and maintaining self-running software that supports machine learning initiatives.
They have to work in different areas, such as speech recognition, fraud prevention, customer insights, and risk management. To apply for a machine learning job, one must know about predictive model dealing and magnificent data.
Programming and computing are integral to becoming a successful machine learning engineer. The average salary of a machine learning engineer is about Rs.7.34 LPA. To get such jobs, a master’s degree in computer science or mathematics is preferred.
Knowing languages like Python, R, Scala, and Java are required to work in this sector. Sound development tools, cloud applications, and coding knowledge will benefit you.
Research Scientist:
A Research Scientist undertakes extensive research to deal with the application of machine learning and artificial intelligence; a research scientist has a good command of applied mathematics, statistics, deep learning, and machine learning.
The average salary of a research scientist is Rs.7.8 LPA. Applicants should have a Ph.D. or master’s degree in Mathematics or Computer Science. Moreover, the salary of a research scientist is relatively high, and there is always a massive demand for a Research Scientist, especially if they have a good command of AI career.
Knowing Natural Language Processing and Reinforcement Learning is essential when applying for this role. The demand for research scientists will always remain high in the upcoming years.
AI Data Analyst:
AI Data Analyst is another popular career option in this sector, where they have the leading role of performing data mining, data cleaning, and data interpretation. By cleaning data, requisite data is collected to carry out data interpretation. Any useless data is discarded so that it can maintain the data interpretation process.
To become an AI Data Analyst, you must complete a Bachelor’s degree in Mathematics or Computer Science. Understanding regression and knowledge of MS Excel is mandatory to get a job in this field.
The average salary of an AI Data Analyst is Rs.4.7 LPA, and their demand in the future is ascertained. Industries can acquire AI data analysts to grow their companies.
Product Managers:
In the field of Artificial Intelligence, the role of a product manager is to resolve all the challenging problems faced while collecting data. You should be able to identify the issues interrupting the company’s growth.
In the next step, you must get hold of data sets to facilitate data interpretation. Numerous jobs are available in this sector, and the position of product manager could be achieved after getting significant experience.
After data interpretation, the next step is to evaluate the outcomes of the entire process. Each organisation needs a product manager, and the demand for product managers has been skyrocketing.
This is one of the highest-paying jobs, and the average salary of a product manager is around Rs.17.5 LPA.
AI Engineers:
AI Engineers have to play the role of problem solvers who will apply different techniques and tactics through testing and effectively handle AI infrastructure. They will use machine learning algorithms and understand neural networks to develop applicable AI models.
It will be helpful to get business insights to make informed decisions quickly. Under graduation or post-graduation, Degrees in data science, computer science, or mathematics are mandatory.
The applicants should have a strong grasp of applied mathematics, data science, statistics, etc. Proficient in other languages such as Python, R, and C++. The average salary in this field is around Rs.6 LPA, less than other fields in Artificial Intelligence.
Robotics Scientists:
Robotics scientists emerged in the market after the arrival of artificial intelligence. Almost all the major industries are hiring Robotic Scientists in their company to improve the working mechanism of programming in their machines.
The robots will take care of specific tasks efficiently. To apply for this job, an aspirant should have a master’s degree in robotics, computer science, and engineering. The average salary of a robotics scientist is around Rs.4.8 LPA, while the median salary is relatively high.
Robots also favour automation, and there is a massive requirement for professionals to build them. Moreover, the risk of losing those jobs is also minimised.
User experience improvement:
Organizations are going digital; This requires their digital assets to be up-to-date and effective. They understand the big picture and are the driving force behind the organisation’s standards. use their skills to create an interactive website. They design the user interface for the application and engage the user before creating ideas that can be implemented using storyboards. The average salary for a UX developer is 4 Lakhs per year.
Jobs in artificial intelligence can also be successful when users are persistent in improving their skills. Skills required for a UX designer are:
- Research
- Information architecture
- Wire framing
- Visual communication
- Prototyping
Data Search:
Data searchers conduct strategic data analysis and research. They are also interested in opportunities to improve efficiency through statistical analysis and modelling. There are many AI jobs in data mining where people can hone their skills and advance.
The most important skills needed by data searchers are:
- Python,
- R
- SQL,
- Infrastructure Management,
- Quantitative Modeling
- Marketing Analysis,
- Big Data,
- Artificial intelligence
Various Uses of Artificial Intelligence
Healthcare:
Supporting accurate diagnosis and treatment through the introduction of artificial intelligence in healthcare.
Educational Technology:
Use artificial intelligence to provide an appropriate learning environment for students.
Sports:
Athletes can improve their skills using artificial intelligence tools.
Agriculture:
Artificial intelligence can achieve maximum results as it helps in developing the perfect farming environment.
Construction:
Buildings can be constructed to be safer and more efficient by combining skills.
Banking:
Chatbot assistance, fraud detection, and better payment methods are some of the benefits of artificial intelligence.
Marketing:
Sales targets can be achieved using artificial intelligence and machine learning.
E-commerce:
Efficient warehouse operations, product recommendations and fraud prevention are some of the benefits of intelligence.
Future of Artificial Intelligence
According to the 2019 Gartner report, artificial intelligence applications increased by 270% from 2015 to 2019. Therefore, the importance of artificial intelligence will increase in the future. Career opportunities in the field of artificial intelligence are increasing.
However, according to the report, the field of artificial intelligence is rapidly expanding. As studies on understanding the principles of artificial intelligence increase, people are becoming more willing to pursue a career in this field of expertise. Today, 70% of organisations are developing AI networks to expand their global reach.
If you want to turn to artificial intelligence, do not hesitate to try. Additionally, salaries for skills-related jobs are very high.
Final words
So what are you waiting for? Embark your journey in AI by enrolling in any of the fields mentioned above. We have seen rapid growth in the AI industry, and people are switching careers after learning that this sector is skyrocketing.
AI career opportunities are reaching certain heights drastically. Start doing your research and conclude by coming into this developing industry.
