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Watch Out for the 9 Most Popular AI Jobs in 2020

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If you are ready to learn, retrain, reskill and upscale then AI is a field with tremendous opportunities for you. However, the key here is to stay ahead of the technology by upgrading your skillset to the requirements of recruiters seeking AI professionals.

Then, of course, certifications are always there to help you always stay ahead in your career. So what are you waiting for? Keep reading to know what are the most popular AI jobs you can choose from and then get going…

Is AI really taking our jobs and do we really need to worry?

Agreed that the AI job loss epidemic has been scaring most professionals left, right and center; however, there are some jobs that AI will not be able to replace. Machines have undoubtedly proven themselves competent and can do things that humans cannot. But machines do have limitations and it is these limitations that the human mind should and can take advantage of…

How does the future of work look like with AI & Automation taking over?

Now that’s a million-dollar question if there ever was one.

Being skeptical is understandable but there is a silver lining to the cloud, as not all jobs will be automated. Yes, you read it right… not all jobs will be replaced by AI and this is what we will discuss here in this article.

Keep your spirits high and read on…

It is time to stop panicking and start preparing for the future with AI playing a dominant role.

Here I will list 9 popular jobs in AI that you can hop into. All you need to do is what I suggested earlier – reskill, retrain and upgrade…

So are you ready to grab any one of these popular AI jobs today for a promising tomorrow?

Related Article:   The Algorithmic Account of Humanity

Yes, then let’s get going…

Tomorrow’s intriguing AI job descriptions

As an AI professional, a thorough understanding of prerequisites for different AI roles is a must. This also includes an instant recognition about whether a role is fit for you or not. Take a thorough look at all the AI jobs and see which one suits your skillsets better.

In addition, you also need to understand that the requirements vary from industry to industry. A pharmaceutical industry prefers candidates with a Ph.D. degree. However, for other industries that are functioning in the advertising domain may require an advanced degree.

Here I have shared all the prerequisites for all the leading AI jobs. Read, digest them and then see which one is a perfect fit for you.

AWS Machine Learning Engineer

Job description: Creating large data sets and building data models.

Education: Compute Science, BS, MS or a Ph.D.

Salary range: $70,000 – $170,000

Skills required:

AI Developer

Job description: To set up, manage and maintain AI solutions.

Education: Computer Science, BS

Salary range: $90,000 – $150,000

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Skills required:

  • Hands-on experience in skills such as ML, NLP, Cloud applications, and AI
  • R, Python or/and C#
  • AWS services
  • Azure services and frameworks
  • Rest APIs libraries and frameworks

AI Engineer

Job description: Responsible for building, testing and deployment of AI models and maintaining the infrastructure.

Education: MS or Ph.D. in Computer Science, Machine Learning, AI or related field.

Salary range: $130,000 – $210,000

Skills required:

Azure Data Scientist

Job description: Help translate customer requirements into POCs for positive solutions.

Education: MS in Computer Science or AI-related field

Salary range: $85,000 – $160,000

Skills required:

  • Hadoop
  • R and Python programming
  • 2+ years in data science
  • Working experience in platforms such as AWS and Azure services
  • Machine Learning, Deep Learning, and NLP

Lead Data Scientist

Job description: Turning challenges into successful AI or ML solutions that bring insights that is valuable to the organization.

Education: MS in Computer Science, Mathematics, Statistics or Ph.D.

Salary range: $125,000 – $195,000

Skills required:

  • R and Python
  • POC development
  • 8+ years’ experience in data gathering, analysis, and ongoing deliverables
  • 8+ years’ experience of development and implementation using machine learning models for predictive analytics
  • 2+ years’ in NLP

Related: What does a Data Scientist do?

Senior Data Scientist

Job description: Designing and implementing cutting-edge solutions across different domains.

Education: BS or MS in Computer Science, Statistics, Mathematics or Engineering

Salary range: $95,000 – $210,000

Skills required:

  • In-depth knowledge with algorithms
  • Machine learning and deep learning
  • NLP, pattern recognition, data-mining on a larger scale
  • Hadoop and Spark
  • Predictive analysis
  • Statistical analysis and data mining
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Data Scientist

Job description: Responsible for collecting and organizing structured and unstructured data, building data sets and predicting future events.

Education: BS or MS in Computer Science or Engineering

Salary range: $50,000 – $150,000

Skills required:

  • Mathematics and Statistics
  • Machine learning
  • R and Python programming
  • Predictive analytics
  • Databases – MongoDB, SQL

Lead Data Engineer

Job description: Responsible for re-engineering business intelligence processes, development of data models along with deployment.

Education: BS, Computer Science

Salary range: $90,000 – $175,000

Skills required:

  • Python programming
  • Hadoop and Spark
  • Cloud computing
  • Deploying machine learning models

Algorithm Developer

Job description: Passion for building scalable algorithms to solve problems in order to deliver high-quality software.

Education: BS in Computer Science or a related field such as Robotics, or Electrical engineering

Salary range: $90,000 – $130,000

Skills required:

  • Algorithm development and optimization
  • Algorithm assessment
  • Algorithm reporting

With the gist of top AI jobs and the salary trends reported by Indeed, Bloomberg and WSJ – there’s no doubt that machine learning/AI Engineer and data scientist are the most in-demand jobs for professionals. Going by the trend, the time for waiting is over, as now is the time for some real action.

So go with the flow and reskill, retrain and upscale your qualifications for a booming career in AI. Of course, AI certification will also help you to beat the competition and bridge the AI skill crisis gap as well.

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