Whether it’s about using Virtual Assistants or self-driving cars or buying online products/services – Artificial Intelligence is everywhere (any doubt about this?) and apparently, there is a tremendous rise in AI job opportunities.

In some or other way, we’re seeing the application of AI in every existing industry. This level of dependence on AI is increasing the demand for highly skilled candidates.

What are the prerequisites to get into Artificial Intelligence (AI)?

To land a high paying job in the AI field, not only you’ll require a bachelor’s degree with a specialization in Computer Science or any related field, but you’ll also need work-experience in Data Analytics/ Data Engineering/ Data Science/ Big Data/ Machine Learning/ Robotics/ Software Engineering.

Here’s the list of top AI jobs:

  1. Data Scientist
  2. Data Analyst
  3. AI Architect
  4. Robotics Scientist
  5. Machine Learning Engineer
  6. Big Data Engineer
  7. Business Intelligence Developer
Wanna know about the skills required, job description, and the annual pay of the above mentioned AI jobs?  Let’s have a look.

1. Data Scientist

Isn’t Data Science the 4th Industrial Revolution? Yes, you’ve heard it right. Data Science is one of those buzz words we keep hearing now and then. And it’s all about asking the right questions.

Let’s see what it takes to become a Data Scientist.

Skills Required

Brendan Tierney, Principal Consultant at Oralytics once mentioned in one of his blogs – “There is a saying ‘A jack of all trades and a master of none’. When it comes to being a data scientist you need to be a bit like this but perhaps a better saying would be ‘A jack of all trades and a master of some’ “.

That’s because the skillset of a Data Scientist is much larger than expected.

Let’s have a look at the key skills:

  • Statistics & Probability
  • Advanced Maths Concepts
  • Machine Learning Algorithms
  • Programming Skills
  • Data Mining
  • Pattern Recognition
  • Data Visualization
  • Data Wrangling
  • Data Intuition
  • Database Processing
  • Strong Problem-Solving skills
  • Communication Skills

Roles and Responsibilities

When you have a look at the Job Description of various organizations, you’ll notice that it varies according to business type and their requirements.

Common Responsibilities:

  • Working with stakeholders for leveraging business data
  • Data Mining and Analysis of company databases
  • Developing data models and algorithms
  • Developing processes and tools to monitor the performance of data models
  • Using Predictive modeling to generate business revenue.

Average Annual Pay

As per Glassdoor, the Average Annual Base Pay of Data Scientist is 113K USD.

2. Data Analyst

While Data Science is about asking questions, Data Analytics is the way of finding answers to those questions.

Data analysts are involved in making business decisions by doing a statistical analysis of the existing data.

Skills Required

 This may vary according to organizational needs.

So I’ve jotted down the most essential skills.

  • MS Excel
  • SQL
  • Strong Analytical Skills
  • Data Visualization
  • ML Algorithms
  • Programming Skills
  • Communication and Presentation Skills

Roles and Responsibilities

  • Developing and Implementing business databases
  • Implementing Data Collection strategies to optimize efficiency
  • Using statistical techniques to interpret and analyze results
  • Analyzing and Interpreting Data trends
  • Data Cleansing and Filtering
  • Prioritizing business needs

Average Annual Pay

As per Glassdoor, the Average Annual Base Pay of Data Analyst is 134K USD.

3. AI Architect

As the name suggests, they actually try to interface AI into existing technologies/processes.

AI Architect helps in identifying new opportunities and navigating potential threats.

What does it take to become an AI Architect? Let’s see.

Skills Required

  • Educational Qualification – Bachelor’s degree with Specialization in Computers  or any AI domain
  • Working experience in Big Data/Data Science/Analytics (5-10yrs)
  • Strategic/Analytic thinking
  • Problem-Solving skills
  • Strong Programming skills
  • Leadership skills
  • Communication

Roles and Responsibilities

  • Identifying Key Stakeholders
  • Building applications to run it on AI platforms
  • To integrate AI into the overall IT infrastructure
  • Managing AI architecture based on certain restrictions
  • To evaluate and analyze the evolution of the architecture as per business needs

Average Annual Pay

As per Glassdoor, the Average Annual Base Pay of AI Architect is 143.7K USD.

4. Robotics Scientist

They are responsible for building robots to increase work efficiency. These robots are used in places where we humans can’t travel.

There’s a limit to human working efficiency, we get tired, but bots don’t. So Robotics Scientist gives us a helping hand.

Skills Required

  • Educational Qualification – Bachelor’s degree with Specialization in Computer Science or Mechanical or any other relevant field
  • Advanced Maths
  • Programming Skills
  • Physical Science
  • Statistics

Roles and Responsibilities

  • Building and Maintaining bots
  • Developing Prototypes
  • Writing programs
  • Co-ordinating and working with other experts

Average Annual Pay

As per Glassdoor, the Average Annual Base Pay of Robotics Scientist is 83.2K USD.

5. Machine Learning Engineer

ML engineers can spot patterns and forecast future trends by applying appropriate machine learning algorithms.

What pre-requisites will help you become one among them? Let’s see.

Skills Required

  • Statistics
  • Applied Maths
  • Programming Skills
  • Data Analysis
  • Machine Learning Algorithms
  • Natural Language Processing
  • Communication

Roles and Responsibilities

  • Performing Statistical Analysis
  • Selecting the appropriate ML algorithm as per the business needs
  • Selecting the appropriate ML libraries for a given problem
  • Working on frameworks
  • Training computer systems

Average Annual Pay

As per Glassdoor, the Average Annual Base Pay of ML Engineer is 114K USD.

6. Big Data Engineer

Data Scientists perform advanced statistical analysis on the extracted/generated data. But who helps them in generating that data?

Yes, Big Data Engineers are the ones that construct and manage the big data infrastructure and tools.

Skills Required

  • Educational Qualification – Bachelor’s degree with Specialization in Computers  or any AI domain
  • Statistics
  • Strong Programming skills
  • Hadoop or Spark
  • Data Wrangling
  • Data Mining
  • Data Cleansing
  • Data Visualization
  • Machine Learning Algorithms
  • Natural Language Processing

Roles and Responsibilities

  • Collecting and Processing raw data
  • Writing SQL queries
  • Web scraping
  • Processing unstructured data into a suitable form
  • Analyzing Processed data
  • Monitoring data performing efficiency

Average Annual Pay

As per Glassdoor, the Average Annual Base Pay of Big Data Engineer is 103K USD.

7. Business Intelligence Developer

As long as the volume of data grows, the demand for BI developers is going to increase as well.

AI, when combined with BI, has got a tremendous growth factor.

Skills Required

  • Strong Analytical Skills
  • Critical thinking
  • Ability to analyze market trends
  • Data Visualization
  • Statistics
  • Attention to detail
  • Problem-Solving
  • Leadership skills
  • Communication and Presentation skills

Roles and Responsibilities

  • Analyzing product/service trends as per the market
  • Troubleshooting business models
  • Data Analytics on business data
  • Improvizing existing business systems
  • Coordinating with other teams to optimize the business flow

Average Annual Pay

As per Glassdoor, the Average Annual Base Pay of Business Intelligence Developer is 81.5K USD.

Conclusion

Got a passion for Artificial Intelligence, but you lack a particular set of skills? Don’t worry; there are lots of certifications and courses available online to teach you everything from scratch.

Best Wishes for your Career ahead.

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