Career in Artificial Intelligence

Introduction To Career in Artificial Intelligence

The following article provides an outline for Career in Artificial Intelligence. According to Gartner, Artificial Intelligence will create 2.3 million jobs in the coming years. And due to the COVID-19 crisis, it has been seen that there is a sharp rise in job opportunities for Artificial Intelligence workers. Further, Gartner says that B2B companies will employ about 30 percent of Artificial Robots/ systems to boost their sale processes. According to Demandbase, Artificial Intelligence will revolutionize the industry in the coming years. So, if you are an Artificial Intelligence enthusiast, this field is for you. Enormous job opportunities are available in the Artificial Intelligence field. To enable Artificial Intelligence systems on company premises, employers will require Artificial Intelligence talent to fulfill the company’s requirements.

How Anyone Can Start Their Career In Artificial Intelligence Field?

Given below shows in detail how anyone can start their career in the Artificial Intelligence field:

1. Data Engineer

• If you are starting your career as a Big Data Engineer, you will have to create an ecosystem for the business so that they interact efficiently.
• You will have to build and administer the data of an organization.
• Additionally, obtain outcomes from big data.
• Working as a Big Data Engineer will give you a lucrative salary than other Artificial Intelligence roles. Big companies like Spark and Hadoop systems, where Big Data Engineers prepare, manage and establish a big data environment. Those who are good with technical skills and always to try tools, then this career is for you.
• Python, R, and Java, programming languages will play a crucial role in building a career in Artificial Intelligence as a big data engineer. Candidates who have done a Ph.D. in Computer Science or Mathematics are given more preferences.

2. Business Intelligence Developer

• Being a Business Intelligence Developer, your primary responsibility is to understand and judge things quickly and clearly. They will identify various business trends and helps to increase profits by analyzing complicated data. They also provide intelligence solutions.
• Business Intelligence Developer helps in optimizing various processes and make sure that the workflow of the organization is running efficiently.

3. Data Scientist

• As a Data Scientist, you will have to collect relevant data from different sources to gain constructive inferences. These inferences will help to tackle issues related to business. From various calculations and past, present information, data scientists make different predictions.
• To become a Data Scientist, you need to have good command over programming languages like Scala, Python, or SQL and hands-on experiences on modern tools like Hadoop, Spark, Hive, or Pig.

4. Machine Learning Engineer

• A candidate should have a master’s degree in Mathematics or Computer Science. If you want to become a Machine Learning Engineer, knowledge of Python, R, Scala, and Java is a must. Comprehensive knowledge about machine learning algorithms, deep learning, and neural networks will be beneficial for you.
• Machine Learning Engineer helps in maintaining self-running software. They are highly in demand, and companies never stop their recruitment.

5. Research Scientist

• Research Scientists are involved in extensive research. They deal with applications of machine learning and intelligence.
• To become a research scientist, you need to have a Ph.D. or a master’s degree in Mathematics-Computer Science.

6. Artificial Intelligence Data Analyst

• Artificial Intelligence Data Analyst performs tasks like data cleaning, data mining, and data interpretation.
• By taking the help of statistical tools, inferences are drawn by an Artificial Intelligence Data Analyst.
• A candidate should have a bachelor’s degree in computer science or mathematics.

7. Product Manager

• The duties of a Product Manager involve solving problems by strategically collecting data and should be able to solve every obstacle that hinders business.
• A Product Manager is required to analyze business impacts from the outcomes of data interpretation.

Companies For Artificial Intelligence

Following are lists of companies that recruit Artificial Intelligence Professionals:

• Amazon
• Google
• Apple
• DJI
• Facebook
• Clarifai
• Anki
• Casetext
• Deepmind
• DataVisor

Conclusion

If you are planning to make a career in Artificial Intelligence, this is the right time to start. Artificial Intelligence has a very bright future. Enroll in courses and grab opportunities.

Recommended Articles

This is a guide to Career in Artificial Intelligence. Here we discuss a brief overview and how anyone can start their career in the artificial intelligence field. You can also go through our other suggested articles to learn more –

1. What is Artificial Intelligence?
2. Applications of Artificial Intelligence
3. What are the Uses of Artificial Intelligence?
4. Benefits of Artificial Intelligence