To be an AI Engineer, one needs to be proficient in a multitude of skills – Gaming, Data Science, Engineering, and an overall knowledge of AI. This will come with a relevant educational degree in both Bachelor’s and Master’s. A student can get a bachelor’s degree in computer science, AI technologies, or any related field. Following this, they could willingly pursue an MBA in Data Science and Artificial Intelligence, preferably from a reputable college like MBA ESG.
Getting certifications, attending seminars, doing workshops, and completing a few internships on AI and machine learning will also be very vital in building a career as an AI Engineer. To become an AI Engineer, one has to be skilled enough in diverse AI tools and be on the constant lookout to learn more.
Let’s dive into more detail about this exciting stream.
What Is Artificial Intelligence Engineering?
Artificial Intelligence Engineering is the process of designing, developing, and deploying AI systems into any technological innovation or function. AI and machine learning become the two most vital components of an AI Engineer to learn and apply in their daily task. This way, they solve problems and automate tasks.
AI Engineering requires skills related to programming, machine learning, data science, analytical thinking, and communication. It involves the use of AI frameworks and tools to build solutions.
What Does an AI Engineer Do?
An AI Engineer is also called a Machine Learning (ML) Engineer, depending on different job designations. They are quite simply a combination of Data Scientists and Software Engineers. AI Engineers use their Data Science skills like Python coding skills, mathematical modeling, statistics knowledge, ML algorithm knowledge, etc., to build and train Machine Learning models. Then they use their Software Engineering skills to deploy these models into production and integrate them with the remaining software apps in the organization.
In short, AI Engineers develop AI models, train computer systems, build AI applications, analyze data, and collaborate with other AI Engineers and Robotics teams to communicate and brainstorm. They also need to learn the fundamentals of computer science and have a business understanding.
How to Become an Artificial Intelligence Engineer?
To become an AI Engineer, an individual needs to develop good skills in a variety of technological aspects like Gaming, Data Science, and Engineering among others. The path to being an AI Engineer begins with education in relevant fields.
A student needs to pass high school with science subjects and an aggregate of 50% marks across academics. They can then study their Bachelor’s course from a stream with Computer Science, AI Technologies, or a related field. Once they graduate with a minimum of 50% marks across academics, they can then enroll in an MBA course for Data Science and Artificial Intelligence.
During these courses, students who want to become an AI Engineers can develop their skills in programming and AI training. AI Engineers need to develop expertise in frameworks like TensorFlow and PyTorch and work with large datasets to train models. A healthy number of internships, workshops, and seminars in an aspirant’s resume also helps them understand this field more clearly. It also gives recruiters more confidence in hiring such employees.
Artificial Engineering is a technical designation in Artificial Intelligence jobs. Therefore, they need to gear their careers toward AI Engineering from early on in their college life. This is because the college curriculums like that of MBA ESG are based on industry knowledge and demand. Hence, it will be important to stay focused on a single AI career path from the very beginning.
What are the Responsibilities of an AI Engineer?
The various responsibilities of an AI Engineer can be detailed in the following points:
- They use Machine Learning algorithms and Deep Neural Networks to create AI Models.
- They manage data flow and infrastructure for effective AI deployment.
- They test, deploy, and maintain AI systems.
- They actively indulge in training Computer Systems to learn from data and perform decision-making.
- Analytical Thinking is an essential part of their job, where they analyze data and solve problems.
- They are responsible for the improvement of AI systems and their functioning.
- They build AI applications using API calls or embedded code.
- They have to communicate with other AI Engineers and Robotics teams and brainstorm together.
AI Engineer Salary in India and Job Outlook
An AI Engineer typically earns somewhere around INR 8 LPA in India when they first start doing the job. However, with years of experience, their salary can rise to INR 80 LPA. It is, however, subject to several factors such as employee skill set, how fast the employee learns, educational background, company reputation, and knowledge gained during work. The salary of an AI Engineer is somewhat similar to that of a Data Scientist in India.
India has been doing exceptionally well in providing jobs to AI Engineers. As per Statista, India created the second-most number of jobs between 2016 to 2020 for AI Engineers globally. Estimates suggest that AI Engineering jobs and other AI-specific jobs should continue to rise in India since it shows the highest penetration for AI skills from 2015 to 2022 worldwide.
From technology to healthcare to finance to consulting industries to retail, AI Engineers are in demand in every industry. As per the US Bureau of Labor and Statistics, AI and Data Engineering careers will increase by 22% globally.
What Skills Are Required to Become an AI Engineer?
Here are some of the skills required to become an AI Engineer:
- Machine Learning – This is an essential thing that Data Scientists and AI Engineers need to understand and correctly predict the solution model. This skill is about understanding machine algorithms and evaluating them.
- Programming – Programming languages like Python, R, and Java, should be a necessary skill set in any AI professional career path.
- Deep Learning – This skill involves learning about artificial neural networks inspired by the human brain’s structure and function.
- Natural Language Processing (NLP) – An increasingly important tool that Data Scientists need to be proficient at.
- Big Data & Cloud Computing – These are just the other technical skills that Data Scientists should be privy to.
- AI Frameworks – A strong knowledge of AI Frameworks like TensorFlow and PyTorch goes a long way in an AI Engineer’s career.
- Problem-Solving – An AI Engineer has to work in an environment with multiple teams like Robotics and Management, and also collaborate with them. For that, they need to have a problem-solving attitude and adaptability to work in a team environment.
Frequently Asked Questions
1. Who Is an AI Engineer?
An AI Engineer is someone who uses Artificial Intelligence and Machine Learning to create AI Systems and Computer Applications that can learn data and make decisions. They develop, test, and maintain AI models as well as are in charge of designing, developing, and deploying AI Systems that solve problems and automate tasks.
2. Which Degree is Best for AI?
Technical course in Computer Science followed by an MBA in Data Science and Artificial Intelligence would be idea for a candidate. In case a student has done other specialization in under graduation, pursuing MBA in AI would help them enter the domain.
3. How Can I Study AI Engineering?
You need to pass Class 12 before that, with an aggregate of 50% marks or above across academics. The one can pursue a Bachelor’s degree in AI technologies involving Computer Science or other related stream. Post that, they can pursue an MBA in Data Science and Artificial Intelligence, preferably from a college like MBA ESG.
4. What is the AI Engineer’s Salary in India?
The salary of an AI Engineer is somewhere around INR 8 LPA in India when they first start doing the job. However, with years of experience, their salary can rise to INR 80 LPA. It is, however, subject to several factors such as employee skill set, how fast the employee learns, educational background, company reputation, and knowledge gained during work.
5. Is AI a Good Career?
Yes. AI is a great career going ahead in the future. It has the maximum penetration rate into any market or industry. It has a bright prospect of jobs in the future, as the number of jobs keeps rising by the day. Also, it offers lucrative salaries that may go as high as INR 80 LPA in India.
