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Exploring the Growing Demand for AI Engineers

Exploring the Growing Demand for AI Engineers


AI engineers are in high demand for good reason. The world is in a transformative era driven by the potential of Artificial Intelligence (AI). As reported by The Economic Times, “By 2030, AI is poised to contribute a staggering $15.7 trillion to the global economy, surpassing the combined outputs of economic giants China and India”. The individuals who possess the skills to navigate through this complex domain (AI Engineering) are going to be in high demand. 

In the digital age, where technology is the driving force behind innovation and progress, pursuing a degree in Computer Engineering and Artificial Intelligence (AI) is becoming a good career option. New AI tools like ChatGPT, Bard, MidJourney, and others are making people worried about future jobs.

But how can you become an AI engineer? What do you need to do to get into this growing field, and what is the AI Engineer salary in India? Let's explore all these aspects together and find out why getting a degree in Computer Engineering and AI is a smart decision. 


Who is an AI Engineer?

An AI engineer is someone who improves artificial intelligence by using programming and data science. They work on things like machine learning and neural networks and help make sure AI is used responsibly by companies all over the world.


What does an AI Engineer do?

An AI engineer is someone who makes computers smart. They create programs and systems that help machines do things that usually need human intelligence. They can specialise in areas such as natural language processing, computer vision, or reinforcement learning, depending on their expertise and project requirements. Additionally, AI engineers collaborate with cross-functional teams, analyze data, and stay abreast of the latest advancements in AI technology to ensure the effective integration of AI solutions into various applications and industries.


How can you become an AI Engineer?

Step 1: Obtain a bachelor's degree.

You can opt for Computer Sciences & Engineering (Artificial Intelligence) or Computer Sciences & Engineering (Artificial Intelligence & Machine Learning) course. The specific curriculum for Computer Science and Engineering programs focusing on Artificial Intelligence (AI) or Artificial Intelligence and Machine Learning (AI/ML) can vary across institutions. This course gives you a basic understanding of how these technologies work and where they're used. You'll learn the theoretical basics of AI, like logic, search algorithms, and different types of machine learning models.


Step 2: Earn Certifications

Getting certified in Artificial Intelligence (AI) or Artificial Intelligence and Machine Learning (AI/ML) is like having a special badge that shows you're good at these fast-growing technologies. It's not just about learning in a structured way; having these certificates makes you stand out when looking for a job. Companies and important people in the field know and respect these certificates, which can help you make important connections and move forward in your career. So, getting certified isn't just about learning; it's like getting a key to more opportunities and a way to show everyone that you know your stuff in AI or ML.


Step 3: Acquire Practical Experience 

To be an AI engineer, it's important to do things. it's also crucial to work on real problems. By doing projects and joining hackathons, you can learn practical skills and get hands-on experience with the tools and technologies used in AI engineering. Knowledge of AI tools like ChatGPT can greatly benefit computer engineers by offering versatile applications in their work. These tools can be employed to automate customer support through the creation of intelligent chatbots, streamlining query resolution. Additionally, computer engineers can leverage AI for code assistance, automating tasks like code generation and debugging.


AI Engineer Salary

Glassdoor reports that the typical yearly income for an AI engineer in India is ₹765,353 and in the United States is $114,121. Salaries can vary across different companies and depend on the skills and expertise you possess.


Some AI Engineering Professions:



AI Developer 

An AI developer collaborates closely with electrical engineers, creating software to bring artificially intelligent robots to life.

AI Architect 

AI architects work closely with clients to help with business and system integration. They also create and take care of the entire architecture.

Machine Learning Engineer 

ML engineers make models that predict things using lots of data. They know a lot about machine learning and deep learning algorithms and frameworks.

Data Scientists 

Data scientists collect, clean, and make sense of big, complex data using machine learning and predictive analytics.

Business Intelligence Developer 

They design, model, and analyze complex data to find out what's happening in business and the market.


Why Learning AI Now Gives You a Big Advantage?


The fast progress of AI, seen in amazing models like GPT-4 and DALL-E3, has changed what AI can do. These models create clear writing and lifelike pictures, showing how AI can help in different areas. However, using and improving these models well needs a special kind of expert, and those experts are AI engineers. The field of Computer Engineering and AI is synonymous with innovation. Graduates of this field find themselves at the front of technological changes, contributing to the development of intelligent systems & algorithms. The knowledge in this dynamic field ensures constant exposure to the latest technologies, making graduates valuable assets in the fast-changing industry.


Frequently Asked Questions (FAQs)


1. What is the role of an AI Engineer?


Answer: An AI engineer enhances artificial intelligence through programming and data science. They focus on areas such as machine learning neural networks and ensure companies' responsible use of AI globally.


2. What tasks does an AI Engineer typically perform?


Answer: AI engineers create programs and systems to make machines perform tasks requiring human-like intelligence. They specialise in natural language processing, computer vision, and reinforcement learning. They also collaborate with cross-functional teams, analyse data, and stay updated on AI advancements.


3. How can practical experience benefit an AI Engineer's career?


Answer: Practical experience gained through projects and hackathons is crucial for AI engineers. It provides hands-on skills with AI tools like ChatGPT and helps solve real-world problems. Practical knowledge is essential for success in the field.


4. What is the average salary of an AI Engineer in India and the United States?


Answer: According to Glassdoor, the typical yearly income for an AI engineer in India is ₹765,353, while in the United States, it is $114,121. Salaries may vary based on skills, expertise, and the employing company.


5. Why does learning AI now provide a significant advantage?


Answer: The rapid progress of AI, exemplified by models like GPT-4 and DALL-E3, has expanded its capabilities. Learning AI now provides a big advantage as it requires specialised experts—AI engineers—to effectively use and enhance these advanced models.

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