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Table of contents
1.
Introduction
2.
Artificial Intelligence
3.
Who is AI Expert
4.
Domain of AI Expert
4.1.
Machine Learning Engineer
4.2.
Deep Learning Engineer
4.3.
Natural Language Processing Engineer
4.4.
Computer Vision Engineer
4.5.
Data Scientist
4.6.
Information Security Engineer
4.7.
AI Architect 
5.
Roles and Responsibilities of AI Expert
6.
How to Become AI Expert
7.
How can AI Expert Contribute to the Company and Society
8.
Salary of AI Expert
9.
Skills of AI Expert
10.
Future Picture of AI Expert
11.
Top Companies for the Role of AI Expert
12.
Frequently Asked Questions
12.1.
What is the difference between AI and ML Experts?
12.2.
What is the difference between Data Scientist and Data Analyst?
12.3.
What are the essential benefits of AI?
12.4.
What are some of the everyday use products or services of AI?
12.5.
How is computer vision used in AI?
12.6.
What are the common tools used by AI experts?
13.
Conclusion
Last Updated: Mar 27, 2024

Roles and Responsibilities of AI Expert

Author Vanshika
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Introduction

There are so many career paths waiting to enter the IT sector. Everyone wants to learn some new technology. The technology which is currently in boom and will be promising in the future. Isn’t it? Artificial Intelligence (AI) is at the top of the list when talking about a new domain. We will discuss AI Expert, how to become one, the role and responsibilities of AI Expert, salary, domain, and more in this article.

Roles and Responsibilities of AI Expert

Artificial Intelligence

On hearing the term Artificial Intelligence, a non-tech person visualizes many robots. But in actuality, AI is not just related to robots. AI is an emerging technology that tries to mimic human reasoning. A computer program can learn and think. In simple words, machines exhibit a form of intellect.

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Who is AI Expert

AI Expert

An AI Expert works with algorithms, neural networks, and other tools. He programs computers to simulate thinking. They work on systems that gather information, make decisions, and act on it. There are many roles and responsibilities of AI Experts in advancing AI to tackle unique design challenges. It combines traditional applications’ logic with machine learning models’ learned logic.

AI experts extract data efficiently from various sources and build and test their Machine Learning (ML) models. At last, they deploy those models using embedded code or Application Program Interface (API) calls to create AI-infused applications.

Domain of AI Expert

Under the umbrella of AI, there are various domains. But in every field, you need to meet the roles and responsibilities of AI Expert. Following are the domains of AI Expert:

Machine Learning Engineer

Machine Learning (ML) engineer is liable for creating and executing algorithms. These algorithms enable computers to learn from data. It includes working with large data sets, designing and testing ML models, and tuning algorithms for efficient execution.

Deep Learning Engineer

deep learning (DL) engineer is an expert in creating and executing learning algorithms based on deep and complex neural network topologies. He is involved in the project’s data engineering and modeling phase.

Natural Language Processing Engineer

Natural Language Processing (NLP) Engineer deals with speech patterns and AI speech recognition. He is responsible for defining datasets for language learning and executing the right tools for NLP projects. He keeps up with the latest trends in ML and AI.

Computer Vision Engineer

Computer Vision (CV) engineers work with visual data. They help computers “see” and solve real-world problems. They use DL/ML and mathematical architectures in code.

Data Scientist

Data Scientist finds trends or patterns in data to reveal new ways for firms to make better decisions about operations.

Information Security Engineer

Information Security Engineers help to protect an institution’s computer networks and systems.

AI Architect 

AI architects create and maintain the entire architecture. They work closely with clients to provide business and system integration services.

You can also check out Data Analyst vs Data Scientist here.

Roles and Responsibilities of AI Expert

  • Be a good team player. blending with others is a must.
     
  • Build data ingestion and data transformation infrastructure.
     
  • Analyze statistically and tune the results so the firm can make better decisions.
     
  • Automating vital functions and processes for a data science team.
     
  • Building AI models from scratch.
     
  • Help product managers, stakeholders, and other individuals in explaining the result gained from the model.
     
  • Convert the ML models into APIs for the use of other applications.

How to Become AI Expert

AI Expert

These are the basic steps you should follow to become an AI Expert:

  • Fundamentals of Programming: Learn multiple programming languages. Don’t master any specific language. Instead, gain ample expertise in structure and concepts. Two major programming languages for AI are
    • R: works great for statistical analysis
    • Python: perfect as a general-purpose programming language
       
  • Statistics: Learn about both Descriptive and Inferential statistics. Descriptive statistics describes and summarizes data. Inferential statistics uses statistics to make predictions.
     
  • Data Cleaning and Preparation: One of the major features defining an excellent AI expert from an ordinary one is analyzing the quality of data cleaning. The more time you spend cleaning, the better you get at acing it.
     
  • Think like an AI Expert: You need to think in some way to make computers think the way humans think. For this, you require skills like mathematics, algorithms, statistics, programming, command over Unix tools, efficiency in distributed computing, and advanced signal-processing techniques.
     
  • In-depth AI Knowledge: Understand the concepts of AI, machine learning, natural language processing, neural networks, and deep learning. Besides, learn Exploratory Data Analysis, Data Engineering, Critical thinking, and Decision Making traits.
     
  • Grow your professional network.
     
  • Gain Practical Experience: Work on real-time AI projects. Participate in contests related to this field. Only theoretical knowledge of AI will not suffice.
     

Additional Tips:

  • Read research papers or blogs on AI
     
  • Keep yourself updated with the latest AI trends and developments in the field
     
  • Volunteer for AI projects with your mentors or seniors

How can AI Expert Contribute to the Company and Society

AI Experts can enhance and contribute to the company and society in various ways:

  • The AI Expert helps uncover new insights by analyzing large or highly variable data sets.
     
  • They improve the efficiency of workplaces and can boost the work humans can do.
     
  • Provides countless hours of productivity by introducing autonomous transportation.
     
  • AI Expert helps predict customer demand and supply chain behavior, for example - By deciding the raw products needed for a certain yield.
     
  • He detects disease early and also helps with research. Example - Apps powered by AO allow people to ascertain that people live healthier lives.
     
  • Help in reducing the chance of manual errors
     
  • Help businesses respond to grievances and queries of customers quickly and address them more efficiently.
     
  • Caters to the requirements of students having special needs
     
  • Help in manufacturing by providing better scalability and improved product development.

Salary of AI Expert

The average salary of an AI Expert is between ₹9 - 12 lacs per annum. It is highly affected by the experience, location, skills, and company. One must meet the roles and responsibilities of AI Expert to get higher pay. The following table shows the salary of an AI Expert based on experience:

Experience 

Average Salary

< 1yr

₹4.66 lpa

1-4 yrs

₹13.54 lpa

5-9 yrs

₹19.27 lpa

10-19 yrs

₹ 31.41 lpa

**The salary figures mentioned above may vary. It is only an estimate.**

Skills of AI Expert

Skills required for becoming AI Expert
  • Programming: It’s crucial to know programming languages, such as PythonR Programming LanguageC++, and Java, to build and implement models in AI. 
     
  • Linear Algebra, Probability, and Statistics: To implement different AI models—such as Hidden Markov models, Naive Bayes, etc., you must have proper knowledge of linear algebrastatistics, and probability.
     
  • Spark and Big Data Technologies: AI experts work with large volumes of data. AI experts must know about Spark and other big data technologies for such data to make sense of it. Other big data technologies include Hadoop, Cassandra, and MongoDB.
     
  • Algorithms and Frameworks: To build AI models with unstructured data, you should understand Deep Learning and ML algorithms like a convolutional neural networkrecurrent neural networkNaive Bayes, etc., and generative adversarial network. Also, you must know how to implement them using a framework like PyTorch, Theano, TensorFlow, and Caffe.
     
  • Soft Skills: Being an AI Expert is a technical job. But the key factors that determine whether or not a project is completed and delivered are the ability to effectively communicate, deal with problems and work in union with others.
     
  • Problem-solving Abilities: You must develop problem-solving skills. These are both critical and creative because AI addresses real-time problems.
     
  • Business Intelligence: Most problems relating to an organization’s management may be resolved using successful AI initiatives. You can transform your technological ideas into productive commercial ventures if you have Business Intelligence.
     
  • Critical Thinking Ability: Creative AI models and technology solutions may need to come up with many answers to a single issue.

Future Picture of AI Expert

Look around; you will notice that AI has impacted almost every industry and will continue to do so in the future. It has emerged as one of the most exciting and advanced technologies. Robotics, IoT, etc., are all fueled by AI. Companies worldwide are conducting extensive research on Machine Learning and AI. At the current growth rate, it will also be a driving force for a long time in the future. The demand for AI is booming across the globe. AI Expert salaries will keep rising as industries like tech, financial services, and medical research turn to artificial intelligence.

AI helps computers generate vast amounts of data. Experts use this data to make decisions and discoveries in a fraction of the time it would have taken a human to. If used responsibly, it can end up hugely benefiting human society.

Top Companies for the Role of AI Expert

Following are some of the companies which hire for the role of AI Expert: 

Frequently Asked Questions

What is the difference between AI and ML Experts?

AI Expert uses AI techniques like knowledge representation, reasoning, and searching to build software and solve real-life problems. In contrast, ML Expert uses ML algorithms like supervised and unsupervised learning.   

What is the difference between Data Scientist and Data Analyst?

Data scientists have more responsibility and are generally considered more senior than data analysts. 

What are the essential benefits of AI?

We mainly benefit from AI’s speed, accuracy, scale, and efficiency.

What are some of the everyday use products or services of AI?

Siri, Alexa, Netflix, Cogito, spam filters on email, Pandora, etc., are many services AI provides. 

How is computer vision used in AI?

Computer vision is the subset of AI. It is used to train the machines to interpret visual data.

What are the common tools used by AI experts?

Scikit Learn, Theano, Caffe, Tensorflow, MxNet, Keras, H2O, etc., are some of the common tools used by AI experts.

Conclusion

In this article, we discussed the roles and responsibilities of AI Experts. We also learned about this job’s salary, benefits, and other details.

Coding Ninjas curated the following articles to guide you toward becoming an AI Expert at your dream company.

You can refer to these articles for interview preparation.

You can also consider our Machine Learning Course to give your career an edge over others.

Happy learning :)

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