Top Career Options in Artificial Intelligence

Artificial Intelligence (AI) is a topic about which every one is talking that it is the future. It is one of the fastest growing technology in tech sector. This is the reason that there is a high demand of AI jobs or we can say AI career is future proof career. It means this area is growing and beneficial. That is the reason that in present scenario AI jobs are more promising as compare to other jobs. The AI field is getting broader with the passage of time. AI involves in almost every major field of life that include:

  • Healthcare
  • Education
  • Sports
  • Agriculture
  • Banking
  • Marketing
  • E-commerce
  • construction

 Some top technology giants and recruiters are also using AI in their projects. These top tech companies include:

  • Apple
  • Amazon
  • Google
  • Facebook
  • Clarifai
  • Casetext
  • Deepmind
  • DataVisior

These companies are ready to hire a sharp talent in AI domain. If you are planning to peruse your career in the field of AI, then you must know that what are the career opportunities in this field. Artificial Intelligence is gaining popularity in all developed and developing countries. There is a great scope of artificial intelligence in Pakistan. So the scope of artificial intelligence scope in Pakistan, India, Bangladesh and other developing countries is gaining popularity in the same way as in developed countries.

Now in this post we will talk about such career opportunities that can be helpful for you in getting awesome salary package and career growth. We will discuss top eight career options in the field of AI.

Top Career Options in AI

Following are the top eight career option that you must consider if you want professional growth in AI.

  1. Data Scientist

Most of the large technical companies requires data scientist for growth related important task of company. Data scientist can play an important role in the positive impact of a company.

To become a data scientist, you need at least Master’s degree in computer science or mathematics. If you have an advance degree then its will be an advantage. It also requires a beginner level experience of machine learning field.

Some important tools that you should know as a data scientist include:

  • Spark
  • Hadoop
  • Pig
  • Hive

Some important languages that you should know as a data scientist include:

  • Python
  • Scala
  • SQL

2. Machine Learning Engineer

Demand of machine learning engineers has been increasing rapidly. Machine learning engineers build and maintain self-running software. For the position of machine learning engineer a good exposure of programming, computing and mathematics is required.

If you have a Masters level degree in computer science or mathematics you will surely get preference for the post of machine learning engineer.

Some important languages that you should know as a machine learning engineer include:

  • Python
  • Scala
  • R
  • java

You should also familiar with software development tools, cloud applications and coding skills. If you want to enter in this field quickly then you should enroll in courses like machine learning and artificial intelligence to enhance your skills.

3. Big Data Engineer

Big data engineers build and administrator an organization’s big data. For the position of Big data engineer most of the companies prefers PhD degree holders in the field of computer science or mathematics.

Some important languages that you should know as a big data engineer include:

  • Python
  • R
  • Java

You should also have skills related to SQL/Apache Spark. The skills can be a beneficial in getting a post related to big data engineer. You can also enroll in AI courses to get successful in this field.

4. Business Intelligence (BI) Developers

If you have good knowledge of computer programming and data sets then you can easily grab the position of BI developers. BI developers evaluate the complex data set to find out different business trends. BI developers prepare and develop BI solution that provides help in increasing the company profit.

For the position of BI developer, you should have at least Bachelors degree in the field of Engineering, Computing or Mathematics. You should also require problem solving and analytical skills for career growth in this area. Higher qualification and skills will be added an advantage.

5. Artificial Intelligence (AI) Engineer

AI engineer are responsible to develop and apply different AI models. They handle AI infrastructure effectively. To become an AI engineer you must have deep interest in this field. You must have at least bachelor’s or master’s degree in data science, computer science or statistics. A certification in machine learning or data science can be beneficial for you. So, you can get preference and advantage over other competitors.

Some important languages that you should know as an AI engineer include:

  • Python
  • R
  • C++

6. AI Data Analyst

AI data analyst are responsible for data interpretation, data cleaning and data mining. You must have at least bachelor’s or master’s degree in data science or computer science for securing the position of AI data analyst. AI data analyst also requires a strong command on MS Excel.

7. Robotics Scientist

The demand of robotics scientist has been increasing in many industries. This profession is in high demand. As a robotics scientist you will be responsible for operating system designing, testing operating functions and cost animation of mass reduce devices. You must have at least bachelor’s degree in mechanical engineering or electrical engineering. If you also have advance degree in mathematics, physical sciences, life sciences and computer science that must be an advantage.

8. Research Scientist

For the post of research scientist, you should also require knowledge of AI field. You must have master’s degree or doctoral degree in the field of computer science.

The knowledge of following subjects is mandatory for the successful career as a research scientist:

  • Parallel Computing
  • Artificial Intelligence
  • Algorithms
  • Distributed computing

Conclusion

To start a career in any of the above-mentioned fields of AI, you must have knowledge about following technical domains:

  • Understanding of artificial neural networks
  • Familiarity with machine learning algorithms and libraries
  • Good command over UNIX tools
  • Knowledge of advance signal processing techniques
  • Distributed computing efficiency
  • Strong knowledge of mathematics and algorithms
  • Expertise in various programming languages like Python/R/Java/C++

Some soft skills also require that may include:

  • Communication
  • Creativity
  • Critical thinking
  • Teamwork
  • Decision making
  • Emotional intelligence
  • Leadership

Only master’s and bachelor’s degree are not sufficient to start a career in AI fields. You should also need some advance certification in your selected area of AI.

If we summarize, for entry level job in AI domain you need Bachelor’s degrees in following subjects.

  • Mathematics
  • Computer science
  • Statistics
  • Information technology

For senior level job roles like administrative or R&D in AI domain, you require Master’s or doctoral degree in required fields.

3 thoughts on “Top Career Options in Artificial Intelligence”

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