Top 5 Career Options in Artificial Intelligence for 2020

Last updated on: January 21, 2020

In the past few years, careers in the field of AI have grown rapidly for meeting the requirements of digitally advanced sectors. Though you may find adequate career options in artificial intelligence, the fact is that there’s also a huge shortage of top tech talent in this field. By 2030, the jobs in the AI sector are expected to jump to 2.3 million, according to a Capgemini report.

Below, I’ve listed some of the best spots that humans are expected to fill in the field of AI soon.

5 Popular Career Options in Artificial Intelligence

1. Machine Learning Engineer

The industry regards a machine learning engineer as the backbone of AI projects. This position can suit those with data science or applied research background. Nonetheless, it’s also essential to showcase a deep knowledge of different programming languages and AI programming skills to advance further in this career.

Employers highly seek candidates with good experience in agile development practices and those who’re able to operate IDE tools such as IntelliJ and Eclipse. Also, most employers prefer candidates with appropriate education in either computer science or maths. Additionally, potential employers demand experts in the field of deep learning, neural networks, and machine learning who have excellent analytical and programming skills.

Top Locations

Machine learning engineers are most demanded in the USA, Canada, and India.

  • USA: California, Virginia, Texas, and Colorado.
  • Canada, primary locations include Toronto, Vancouver, and Montreal.
  • India: found in Mumbai, Bangalore, and Pune.

2. Data Scientist

A data scientist plays an important role in collecting, analyzing, as well as interpreting complex chunks of data. They do this by leveraging both predictive analytics and machine learning skills. Data scientists also develop algorithms to collect and clean various types of data during analysis.

Candidates interested in this job role must have a deep understanding of big data tools such as Hadoop, Pig, Hive, MapReduce, and Spark. Additionally, data scientists should have adequate experience in various programming languages. These include Python, Scala, Perl, SQL and more.

Employers often expect candidates to have a master’s or a Ph.D. in computer science to be considered for the role of a data scientist. At times, an advanced degree in maths or electrical engineering may suffice. Still, if you’re seriously considering this job position as one of the career options in artificial intelligence, a master’s degree in computer science is a must for each candidate. Also, companies may require you to have a minimum of 2 years of experience in machine learning. Besides, working experience of operating cloud tools such as Hadoop and Amazon’s S3 can be a big plus. Lastly, strong communication and analytical skills are essential to seamlessly communicate your findings with your network.

Top Locations

  • India: Chennai, Gurgaon, Mumbai, and Bangalore.
  • Canada: Toronto, Vancouver, and Montreal.
  • USA: Washington, New York, and Texas.

3. Algorithm Engineer

Algorithm Engineer work on the design, implementation, optimization, and analysis of various computer algorithms. Thus, they act as a bridge between theoretical algorithms and their practical usage in a business scenario. This position requires you to have a strong background in maths, and computer science, with experience in popular programming languages and computational algorithms. Employers highly prefer candidates with a bachelor’s degree in physics, computer science, engineering, applied maths, or other associated fields.

Top Locations

Algorithm Engineers are most needed in the USA, UK, and Canada.

4. Research Scientist

Research Scientists are experts in various disciplines of artificial intelligence. Some of these include deep learning, applied mathematics, and computational statistics. To be eligible for this position, candidates must demonstrate thorough understanding and experience in graphical models, computer perception, and reinforcement learning.

Similar to a data scientist, a research scientist must possess a doctoral or an advanced master’s degree in computer science. Nonetheless, most employers also accept an advanced degree in any of the associated fields with a good experience.

Top Locations

  • US: New York, Boston, and Texas.
  • India: Mumbai and Bangalore.
  • Canada: Montreal and Vancouver.

5. Project Manager

The primary duty of a technological project manager includes coordinating people and processes for making sure all teams work in unison for creating a business intelligence system and that the project is delivered within the given budget on time. As a project manager, the candidate must possess business management, analytical and budgeting skills. Besides, a previous experience and educational background in project management can be a big plus.

Hence, sometimes a bachelor’s degree in computer science, management, or other associated field is highly recommended. Advanced courses in similar fields are also preferred by top employers.

Top Locations

  • United States
  • United Kingdom
  • Germany
  • Canada

The jobs in the AI ​​sector are expected to keep growing. Don’t fall behind! Explore career options in artificial intelligence for 2020. This short review is intended to demonstrate the offer in the market of technical jobs in the field of AI. For a more detailed overview, you may be interested in Artificial Intelligence Career Analysis and Mini Guide to a Career in Artificial Intelligence. Thank you for being with us, we wish you good luck in your career and life.

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Top 5 Career Options in Artificial Intelligence for 2020

Last updated on: January 21, 2020

In the past few years, careers in the field of AI have grown rapidly for meeting the requirements of digitally advanced sectors. Though you may find adequate career options in artificial intelligence, the fact is that there’s also a huge shortage of top tech talent in this field. By 2030, the jobs in the AI sector are expected to jump to 2.3 million, according to a Capgemini report.

Below, I’ve listed some of the best spots that humans are expected to fill in the field of AI soon.

5 Popular Career Options in Artificial Intelligence

1. Machine Learning Engineer

The industry regards a machine learning engineer as the backbone of AI projects. This position can suit those with data science or applied research background. Nonetheless, it’s also essential to showcase a deep knowledge of different programming languages and AI programming skills to advance further in this career.

Employers highly seek candidates with good experience in agile development practices and those who’re able to operate IDE tools such as IntelliJ and Eclipse. Also, most employers prefer candidates with appropriate education in either computer science or maths. Additionally, potential employers demand experts in the field of deep learning, neural networks, and machine learning who have excellent analytical and programming skills.

Top Locations

Machine learning engineers are most demanded in the USA, Canada, and India.

  • USA: California, Virginia, Texas, and Colorado.
  • Canada, primary locations include Toronto, Vancouver, and Montreal.
  • India: found in Mumbai, Bangalore, and Pune.

2. Data Scientist

A data scientist plays an important role in collecting, analyzing, as well as interpreting complex chunks of data. They do this by leveraging both predictive analytics and machine learning skills. Data scientists also develop algorithms to collect and clean various types of data during analysis.

Candidates interested in this job role must have a deep understanding of big data tools such as Hadoop, Pig, Hive, MapReduce, and Spark. Additionally, data scientists should have adequate experience in various programming languages. These include Python, Scala, Perl, SQL and more.

Employers often expect candidates to have a master’s or a Ph.D. in computer science to be considered for the role of a data scientist. At times, an advanced degree in maths or electrical engineering may suffice. Still, if you’re seriously considering this job position as one of the career options in artificial intelligence, a master’s degree in computer science is a must for each candidate. Also, companies may require you to have a minimum of 2 years of experience in machine learning. Besides, working experience of operating cloud tools such as Hadoop and Amazon’s S3 can be a big plus. Lastly, strong communication and analytical skills are essential to seamlessly communicate your findings with your network.

Top Locations

  • India: Chennai, Gurgaon, Mumbai, and Bangalore.
  • Canada: Toronto, Vancouver, and Montreal.
  • USA: Washington, New York, and Texas.

3. Algorithm Engineer

Algorithm Engineer work on the design, implementation, optimization, and analysis of various computer algorithms. Thus, they act as a bridge between theoretical algorithms and their practical usage in a business scenario. This position requires you to have a strong background in maths, and computer science, with experience in popular programming languages and computational algorithms. Employers highly prefer candidates with a bachelor’s degree in physics, computer science, engineering, applied maths, or other associated fields.

Top Locations

Algorithm Engineers are most needed in the USA, UK, and Canada.

4. Research Scientist

Research Scientists are experts in various disciplines of artificial intelligence. Some of these include deep learning, applied mathematics, and computational statistics. To be eligible for this position, candidates must demonstrate thorough understanding and experience in graphical models, computer perception, and reinforcement learning.

Similar to a data scientist, a research scientist must possess a doctoral or an advanced master’s degree in computer science. Nonetheless, most employers also accept an advanced degree in any of the associated fields with a good experience.

Top Locations

  • US: New York, Boston, and Texas.
  • India: Mumbai and Bangalore.
  • Canada: Montreal and Vancouver.

5. Project Manager

The primary duty of a technological project manager includes coordinating people and processes for making sure all teams work in unison for creating a business intelligence system and that the project is delivered within the given budget on time. As a project manager, the candidate must possess business management, analytical and budgeting skills. Besides, a previous experience and educational background in project management can be a big plus.

Hence, sometimes a bachelor’s degree in computer science, management, or other associated field is highly recommended. Advanced courses in similar fields are also preferred by top employers.

Top Locations

  • United States
  • United Kingdom
  • Germany
  • Canada

The jobs in the AI ​​sector are expected to keep growing. Don’t fall behind! Explore career options in artificial intelligence for 2020. This short review is intended to demonstrate the offer in the market of technical jobs in the field of AI. For a more detailed overview, you may be interested in Artificial Intelligence Career Analysis and Mini Guide to a Career in Artificial Intelligence. Thank you for being with us, we wish you good luck in your career and life.

Previous Post
How to Start a Career in Artificial Intelligence
Next Post
Professional Resume Writing Services: Are They Worth It?

Leave a Reply

Your email address will not be published. Required fields are marked *

Fill out this field
Fill out this field
Please enter a valid email address.

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