A few decades ago, the term Artificial Intelligence was reserved for scientific circles and tech-enthusiasts who wanted to sound cool. But, ever since its coining in 1955, AI has only grown in popularity. Today, you wouldn’t find a technology magazine that doesn’t mention artificial intelligence in every other paragraph.
Here's a quick video explaining the rise in demand for AI engineers and trends in an AI engineer's salary worldwide.
Who is an AI Engineer?
The last decade has made tremendous progress in refining AI and its real-life applications. Most technological advancements of recent times are based on AI to at least some extent. Be it top-level research in genetics or the camera of your smartphone; artificial intelligence is everywhere. Naturally, the individuals equipped with decent AI skills are in high demand all across the globe.
Colloquially termed as AI engineers, these professionals are usually computer science students who post-graduate in artificial intelligence. However, neither of the above is mandatory. There are many informative guides present on the internet that provide in-depth information on how to become an AI engineer. Besides, you can learn AI and become an AI engineer by doing artificial intelligence courses online too.
What Does an Artificial Intelligence(AI) Engineer Do?
Before getting on the question at hand, we need to know top AI engineer's job roles. Machine Learning (ML) Engineers, Data Scientists, Data Analyst, Computer Vision Engineer, Business Intelligence Developer, and Algorithm Engineers are just some of the many different positions that come under the umbrella of AI engineering. Each of these positions entails a different job-profile, but, generally speaking, most AI engineers deal with designing and creating AI models. Everything from the maintenance to performance supervision of the model is the responsibility of the AI engineer.
Most AI engineers come from a computer science background and have strong programming skills, which is a non-negotiable part of an AI engineer’s position. Proficiency in Python and Object-Oriented Programming is highly desirable. But for an AI engineer, what is even more important than programming languages is the programming aptitude. Since the whole point of an AI system is to work without human supervision, AI algorithms are very different from traditional codes. So, the AI engineer must be able to design algorithms that are adaptable and capable of evolving.
Other than programming, an AI engineer needs to be conversant in an assortment of disciplines like robotics, physics, and mathematics. Mathematical knowledge is especially crucial as linear algebra and statistics play a vital role in designing AI models.
Read More: Gaurav Tyagi’s love for learning inspired to him to upskill with our AI For Decision Making: Business Strategies And Applications. Read about his journey and his experience with our course in his Simplilearn AI Program Review.
AI Engineers Salaries Across the Globe
At the moment, AI engineering is one of the most lucrative career paths in the world. The AI job market has been growing at a phenomenal rate for some time now. The entry-level annual average AI engineer salary in India is around 10 lakhs, which is significantly higher than the average salary of any other engineering graduate. At high-level positions, the AI engineer salary can be as high as 50 lakhs.
AI engineers earn an average salary of well over $100,000 annually. According to Glassdoor, the average national salary is over $110,000; and the high salary is $150,000.
- Although AI engineering is still an emerging career-path, the early adopters of AI with more than ten years of experience in the field can charge up to 1 crore per annum. These fantastic figures are not limited to India, though.
- The average annual AI engineer salary in the US is over $110K.
- The annual AI engineer salary in Canada is over 85,000 C$ on an average.
- Prospects for AI developers are just as bright in Europe with a median AI engineer salary in the UK being over 60,000 pounds per annum.
- In contrast, the annual AI engineer salary in Germany is somewhere around €84,574.
- As for other major AI markets, the AI engineer salary in Australia can be as high as $110,000 per year.
- And, the average annual AI engineer salary in Singapore is S$74,943
However, you must note that these figures can vary significantly based on several factors like:
- The type of AI engineering viz. Machine Learning, Data Science, etc
- Skills and qualifications
Companies Hiring for Artificial Intelligence Engineers:
Here is the list of companies/ startups hiring in AI right now are IBM, Fractal.ai, JPMorgan, Intel, Oracle, Microsoft, etc.
AI Engineer Salaries in India
Ranging between 6 to 20 Lakhs
Ranging between 6 to 16 Lakhs
Ranging between 5 to 18 Lakhs
AI Salary Based on Experience (India)
The salary for AI professionals in India can vary based on a variety of factors, including experience, job role, industry, and location. However, here's an estimate of the AI salary based on experience in India:
- Entry-level (0-2 years of experience): Rs. 4-8 lakhs per annum
- Mid-level (2-5 years of experience): Rs. 8-15 lakhs per annum
- Experienced (5-10 years of experience): Rs. 15-30 lakhs per annum
- Senior-level (10+ years of experience): Rs. 30+ lakhs per annum
It's important to note that these figures are just estimates and can vary based on individual circumstances. Additionally, the industry and location can also play a role in determining AI salaries, with industries such as finance, healthcare, and technology typically paying higher salaries and cities such as Bangalore, Mumbai, and Delhi generally paying higher salaries than other cities in India.
If you're interested in pursuing a career in Artificial Intelligence (AI), here are some steps that can help you get started:
Career in Artificial Intelligence
- Learn the basics: Start by gaining a strong foundation in the fundamentals of AI, including machine learning, deep learning, natural language processing, and computer vision.
- Develop technical skills: Once you have a basic understanding of AI, it's important to develop technical skills. This can include learning programming languages such as Python, R, and Java, as well as tools and frameworks such as TensorFlow, Keras, and PyTorch.
- Gain practical experience: As with any field, gaining practical experience is crucial to building your AI career. Consider taking on AI-related projects (you can find these in our AI program)
- Network with professionals: Attend industry events, conferences, and workshops to network with other AI professionals and learn about the latest trends and developments in the field.
- Choose a career path: There are many different career paths within AI, including data scientist, machine learning engineer, AI researcher, and AI consultant. Consider your strengths and interests to determine which path is right for you.
- Keep learning: AI is a rapidly evolving field, so it's important to keep up with the latest developments and trends by reading blogs, attending webinars, and participating in online courses.
By following these steps, you can build a successful career in AI and become a valuable contributor to the field.
Best Countries for Artificial Intelligence Jobs
The top 7 countries with the maximum opportunities for Artificial Intelligence (AI) Professionals are:
- United States (US)
- United Kingdom (UK)
There are various positions that an AI engineer can take up. An AI engineer’s salary depends on the market demand for his/her job profile. Presently, ML engineers are in greater demand and hence bag a relatively higher package than other AI engineers. Similarly, the greater the experience in artificial intelligence, the higher the salary companies will offer. Although you can become an AI engineer without a Master’s degree, it is imperative that you keep updating and growing your skillset to remain competitive in the ever-evolving world of AI engineering.
Top AI Jobs
There are a number of exciting and in-demand jobs in the field of artificial intelligence (AI). Here are some of the top AI jobs that you may want to consider:
1. Machine Learning Engineer
As a machine learning engineer, you will be responsible for developing and implementing algorithms that enable computers to learn from data. This includes working with large data sets, designing and testing machine learning models, and tuning algorithms for efficient execution.
2. Data Scientist
Data scientists use their expertise in statistics, mathematics, and computer science to analyze complex data sets. They work with organizations to gain insights that can be used to improve decision-making.
3. Artificial Intelligence Researcher
As an AI researcher, you will be responsible for investigating and developing new artificial intelligence algorithms and applications. This includes conducting research, writing papers, and presenting your findings at conferences.
4. Software Engineer
Software engineers develop the software that enables computers to function. This includes creating algorithms, testing code, and debugging programs.
5. Systems Engineer
Systems engineers design and oversee the implementation of complex systems. This includes planning and coordinating system development, ensuring compatibility between components, and troubleshooting issues.
6. Hardware Engineer
Hardware engineers design and oversee the manufacture of computer hardware components. This includes circuit boards, processors, and memory devices.
7. Network Engineer
Network engineers design and implement computer networks. This includes configuring networking equipment, developing network architectures, and troubleshooting network problems.
8. Database Administrator
Database administrators maintain databases and ensure that data is stored securely and efficiently. This includes designing database structures, implementing security measures, and backing up data.
9. Information Security Analyst
Information security analysts plan and implement security measures to protect computer networks and systems. This includes researching security threats, assessing risks, and developing countermeasures.
10. User Experience Designer
User experience designers create user interfaces that are both effective and efficient. This includes developing navigation schemes, designing graphical elements, and testing prototypes.
These are just a few of the many exciting and in-demand jobs in the field of artificial intelligence. With the right skills and experience, you can find a position that matches your interests and abilities.
Top AI Recruiters/ Top Companies Hiring for AI
Just as AI is transforming the business landscape, it is also opening up new opportunities in the recruiting sphere. Here are some of the top companies and recruiters who are hiring for AI roles:
- Google: One of the tech giants leading the charge in AI development, Google is also one of the top employers looking for talent in this field. The company is looking for candidates with experience in machine learning, natural language processing, and deep learning.
- IBM: Another tech giant, IBM has been at the forefront of AI development for many years. The company is now looking to expand its AI team and is seeking candidates with experience in data science, machine learning, and deep learning.
- Facebook: The social media giant is also looking to get into the AI game and is seeking candidates with experience in machine learning and artificial intelligence.
- Amazon: The e-commerce juggernaut is also looking to join the AI race and is hiring for roles in machine learning and artificial intelligence.
- Apple: The Cupertino-based tech giant is also looking to hire for AI roles, specifically in the field of machine learning.
These are just some of the top companies and recruiters who are hiring for AI roles. If you have the right skills and experience, don't hesitate to apply!
How to Boost AI Salary
There are a few key things you can do to help boost your AI salary. First, focus on acquiring in-demand skills. One of the best ways to do this is to enroll in a top-rated certification program. Second, keep up with the latest industry trends and developments. Finally, consider pursuing management or leadership roles within your organization. By taking these steps, you can position yourself for success and earn a higher salary in the AI field.
Choose the Right Program
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What Can the Year 2023 Bring for AI Engineers?
Even as you read this article, the demand for AI is booming across the globe. AI engineer salaries will keep rising as industries like tech, financial services, and medical research turn to artificial intelligence. As more global brands like Google and Nvidia dive deeper into Artificial Intelligence (AI), the demand and the salaries for AI engineers will only go upwards in 2023 and the decades to follow. Even government agencies in many developed and developing nations will open up AI engineer positions as they realize the enormous impact AI can have on the defense and governance sector.
Looking at the current pandemic scenario, jobs are better left till the dawn of next year. The time you have right now will be far better utilized in upgrading your AI repertoire.
Unlike most other fields, AI of tomorrow will look nothing like the AI of today. It is evolving at a breathtaking speed, and ensuring your Artificial Intelligence (AI) skills are relevant to current market needs, you better keep upgrading it. If you wish to get a step closer to these lucrative salaries, sharpen your AI skills with the world-class AI program, and, before you know it, you will be standing in the world of AI engineers!
1. What is the salary of a AI Engineer in India?
The salary of an AI Engineer in India can range from 8 lakhs to 50 lakhs annually.
2. What is the starting salary for a AI Engineer in India?
The starting salary for an AI Engineer in India can be from 8 lakhs annually.
3. What is the highest salary for a AI Engineer in India?
50 laksh is the highest salary for an AI Engineer in India
4. How does AI Engineer Salary in India change with experience?
As experience and position increases, the salary also increases.
5. What are the top paying industries for AI Engineer in India?
IT is one of the highest paying industry for AI Engineer.
6. What are the popular/top skills required to become a AI Engineer?
Popular skills for AI Engineers to have are programming languages, data engineering, exploratory data analysis, deploying, modelling, and security.
7. How much does an Artificial Intelligence Engineer make?
Average Artificial Intelligence Engineer salary in the US is around $100k annually.
8. What are Top 5 Best Paying Related Artificial Intelligence Engineer Jobs in the U.S.?
Top 5 Artificial Intelligence Jobs in the US are Machine Learning Engineer, Data Scientist, Business Intelligence Developer, Research Scientist, and Big Data Engineer/Architect.
9. What is the lowest salary for an AI Engineer in United States?
The lowest salary for an AI Enginner in the US is around $100k annually.
10. What is the highest salary for an AI Engineer in United States?
Highest salary can go over $150 to $200k annually.