AI Engineering Salary For Freshers And Experienced In 2023

Over the past ten years, there has been incredible progress in improving artificial intelligence (AI) and its practical applications in our daily lives. Many recent technological advancements have some element of AI at their core. Whether it’s cutting-edge genetic research or the camera on your smartphone, AI has become pervasive. As a result, there’s a significant demand worldwide for individuals with solid AI skills.

These individuals are often referred to as AI engineers. While many AI engineers have backgrounds in computer science and pursue graduate studies in artificial intelligence, it’s important to note that these prerequisites are not absolute. You don’t necessarily need those qualifications to become an AI engineer.

There are numerous informative resources available online that offer detailed guidance on how to become proficient in AI engineering. You can also acquire AI skills and embark on the path to becoming an AI engineer by enrolling in online artificial intelligence courses.

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Introduction to AI Engineering

Intelligence is all about our capacity to think, gather information, and use that knowledge in the right situations. Now, when we talk about artificial intelligence, we’re essentially talking about computers or robots having this same ability. It results from technology and programming, enabling software to understand and mimic human thinking.

While they have distinct meanings, terms like machine learning, deep learning, big data, and artificial intelligence are often used interchangeably. Artificial intelligence has played a significant role in automating various aspects of the tech industry lately.

The significance of artificial intelligence lies in its ability to deeply analyze data, achieve exceptional accuracy, and, most importantly, breathe life into inanimate objects.

Key Responsibilities of an AI Engineer

Before diving into the main question, let’s understand top AI engineers’ roles. There are several positions within the field of AI engineering, including Machine Learning (ML) Engineers, Data Scientists, Data Analysts, Computer Vision Engineers, Business Intelligence Developers, and Algorithm Engineers, to name a few.

While each of these roles has its unique responsibilities, the common thread among AI engineers is their involvement in designing and crafting AI models. They are responsible for everything from creating these models to ensuring they work well over time.

Most AI engineers typically come from a background in computer science and possess strong programming skills – this is a fundamental requirement for the job. Proficiency in programming languages like Python and a grasp of Object-Oriented Programming are highly desirable.

However, what’s even more important for an AI engineer than knowing specific programming languages is having a knack for programming itself. AI systems are distinct from traditional code because they should operate independently, without constant human oversight. Therefore, AI engineers must be skilled in designing adaptable and evolving algorithms.

In addition to programming, AI engineers should know various fields, such as robotics, physics, and mathematics. Mathematical understanding is vital, as concepts like linear algebra and statistics are crucial in shaping AI models.

Salary of an AI Engineer

In recent years, Artificial Intelligence has been a widely discussed and significant topic in India and worldwide. Thanks to advancements in Data Science, AI is making substantial progress. Many institutions across India now offer specialized programs and courses focused on Artificial Intelligence.

Factors Affecting the Salary of AI Engineer

Based on Experience

Experience Level	Salary Range (per annum)
Entry-level	Rs. 4-8 lakhs
Mid-level	Rs. 8-15 lakhs
Experienced	Rs. 15-30 lakhs
Senior-level	Rs. 30+ lakhs

Remember that these salary numbers are rough estimates and can differ depending on your situation. Furthermore, the industry you work in and where you’re located can influence your AI salary. For instance, sectors like finance, healthcare, and technology tend to offer higher salaries. Also, cities like Bangalore, Mumbai, and Delhi generally provide higher AI salaries than other cities in India.

Based on Location

Cities like Mumbai, Bengaluru, Hyderabad, and Chennai are recognized as major hubs for Artificial Intelligence Specialists in India. These cities are home to the national headquarters of prominent companies like Google, Amazon, and more.

In Bengaluru, the top choice for AI specialists in India, the average salary for an AI specialist is 8.80 LPA.

Chennai comes next on the list with an average salary of 7.32 LPA for AI specialists.

Mumbai offers a slightly lower average salary of 6.44 LPA for AI specialists.

There are ample opportunities across other cities in the country, with an average salary of around 5.5 LPA for AI specialists.

Based on job roles

Role	Average Salary(per annum)
Principal Data Scientist	17,11,180
Computer Scientist	16,24,615
Machine Learning Scientist	9,50,000
Data Engineer	8,35,755
Data Scientist	6,99,928
Research Engineer	6,52,230
Algorithm Engineer	5,40,220
Data Analyst	4,97,550
Computer Vision Engineer	4,50,000

Top Recruiters for the Job Role of AI Engineering

Google

Google is the ultimate dream company for computer engineers. Over the years, Google has consistently produced cutting-edge products and has remained at the forefront of the Artificial Intelligence race. They hire many software engineers and machine learning scientists in India.

Apple

Apple is in fierce competition with other leading artificial intelligence companies. Since its inception, Apple has been dedicated to creating state-of-the-art AI products. They recruit data scientists, machine learning scientists, and other engineering professionals.

Accenture

Accenture is committed to providing swift solutions to its clients and has been hiring AI specialists to achieve this goal.

Amazon

Amazon is another technology giant with a strong focus on AI, working to make the world a better place through innovative artificial intelligence applications. They hire engineers for various AI-related roles.

IBM (International Business Machines)

IBM is among the companies actively seeking data scientists and artificial intelligence specialists to develop models and offer solutions to their clients.

Microsoft

Microsoft leads the way in artificial intelligence through Azure, building world-class AI models. They are looking for computer vision engineers and data scientists to join their team.