In 2021, Artificial Intelligence was one of the growing subfields of the Information Technology field. Artificial Intelligence is needed in almost every organization. AI Engineers are in high demand. AI has seemingly endless potential to enhance and simplify tasks commonly done by humans, including speech recognition, image processing, business process management, and even the diagnosis of diseases. If you’re already technically inclined and have a background in software programming, you’ll want to think about a lucrative AI career and learn more about how to become an AI engineer. However, a background in AI is not essential as you can upgrade yourself with free online courses and learn the fundamentals required.
What is Artificial Intelligence?
Artificial Intelligence (AI) may be a computer system’s ability to mimic human behavior. Machines demonstrate this type of intelligence, which may be compared to the natural intelligence that humans and animals demonstrate.
In AI, machines learn from past data and actions that are positive or negative. With this new information, the machine is in a position to form corrections to itself in order that the issues don’t resurface, also as make any necessary adjustments to handle new inputs. Finally, the machine is in a position to perform human-like tasks.
- Who is an AI Engineer?
- AI Engineer Job Description
- Roles and Responsibilities of an AI Engineer
- AI Engineer Salary Trends in India/US
- Skills Required to be an AI Engineer
- How to be an AI Engineer?
- What are the Advantages of a AI Engineer Course?
Our Most Popular Courses:
Who is an AI Engineer?
An Artificial Intelligence Engineer is an IT expert whose mission is to develop intelligent algorithms capable of learning, analyzing, and predicting future events. Their role is to make machines capable of reasoning, just like the human brain.
An AI engineer is therefore also a researcher: he or she analyses the functioning of the human brain so as to create computer programs with equivalent cognitive abilities as humans.
An Artificial Intelligence Engineer can specialize in different areas like Machine Learning or Deep Learning, which are derived from AI. Machine Learning is predicated on algorithms and decision trees, while Deep Learning is predicated on neural networks.
Let’s take the instance of a corporation that sells beauty products. Having the ability to predict the trends and preferences of its customers would allow the corporate to focus on its expectations more effectively. The corporate would see its sales soar and its profitability increase.
The mission of the Artificial Intelligence Engineer is to generate algorithms that take input data on the records of investments, sales, and products so as to foretell future customer action.
AI engineer Job description
As an AI engineer, you play a lot of important roles for an organization, from developer to making strategies for future business plans, from analyzing data and employing Artificial intelligence accordingly to training AI based on the collected data for future uses. Let’s understand how AI is important for an organization irrespective of its field.
AI Application in E-Commerce
Artificial Intelligence engineer makes technology easy to employ to make recommendation engines through which you’ll interlace better with your customers. These suggestions are delivered following their browsing history, preference, and interests. It helps in improving your relationship with your customers and their loyalty to your brand.
AI engineer empowers us with Virtual shopping assistants and chatbots, which assists us in improving the user experience while shopping online. Language Processing is employed to form the conversation sound as human and private as possible. Moreover, these assistants can have real-time engagement together with your customers. Chatbots are being used by various companies.
Credit card frauds and faux reviews are two of the foremost significant issues that E-Commerce companies are affected by. By considering the usage patterns, AI can help reduce the likelihood of Credit Card fraud. Many purchasers like to buy a product or service supported by good customer reviews. AI can assist in recognizing and handling fake reviews.
AI Applications in Navigation
According to research from MIT, GPS technology can equip operators with objective, up-to-date, and complete information to intensify safety. The technology utilizes composite applications of Convolutional Neural Network and Graph Neural Network, which advances life easier for users by automatically identifying the number of roads and road examples behind barriers on the roads. AI is gradually applied by Uber and lots of logistics organizations to improve operational performance, investigate road traffic, and optimize plans.
AI Applications in Robotics
Robotics is another field where AI applications are commonly used. Robots powered by Artificial Intelligence utilize time to time updates to understand the barriers in their path and pre-plan their journey immediately.
They are often used for-
- Carrying goods in hospitals, factories, and warehouses
- Cleaning offices and enormous equipment
- Inventory management
- AI Applications in Human Resource
Did you recognize that companies use intelligent software to ease the hiring process?
Artificial Intelligence helps with blind hiring. Using machine learning software, you’ll examine applications that support specific parameters. AI drive systems can scan job candidates’ profiles and resumes to supply recruiters with an understanding of the talent pool they need to choose between.
AI Applications in Healthcare
Artificial Intelligence engineer finds ways to implement AI and make diverse applications within the healthcare sector. AI applications are utilized in healthcare to create sophisticated machines which will detect diseases and identify cancer cells. AI can help analyze chronic conditions with lab and other medical data to make sure early diagnosis. AI uses the mixture of historical data and medical intelligence for the invention of the latest drugs.
There are more uses of AI in an organization or daily life, so AI engineers do a lot of things according to their demands. But as a fundamental definition, they perform some specific tasks.
An AI engineer builds AI models using machine learning algorithms and deep learning neural networks to draw business insights, which might be accustomed make business decisions that affect the whole organization. These engineers also create weak or strong AIs, counting on what goals they require to attain.
AI engineers have an intellectual opinion of programming, software engineering, and data science. They use different tools and techniques so that they can process data, additionally as develop and maintain AI systems.
Roles and Responsibilities of an AI Engineer
As an AI engineer, you would perform certain tasks like developing, testing and deploying AI models through programming algorithms such as random forest, logistic regression, rectilinear regression, and so on.
- Convert the machine learning models into application interfaces (APIs) in order that other applications can use it.
- Develop AI models from scratch and assist the several elements of the company(for instance product managers and stakeholders) know what results they gain from the model.
- Build data ingestion and data transformation infrastructure.
- Automate infrastructure that the info science team uses.
- Perform statistical analysis and tune the results in order that the organization can make better-informed decisions.
- Set up and manage AI development and merchandise infrastructure.
- Be an honest team player, as coordinating with others may be a must.
Let’s say an IT company runs a successful business, providing a service to a good audience online. The requirements of the business are such they require constant prototyping and mocking from various website layouts. This is often thanks to the corporate employing solid UI and UX practices and learning from continuously running various A/B tests on their website’s pages.
The company is additionally tracking user behavior with a tracking tool like HotJar (which records users’ mouse clicks and scroll events on the online page, in order that the possible points of user confusion are often analyzed by observing user behavior on the website).
An AI Engineer’s responsibility might contain the following:
- Construct a machine learning algorithm that will get photos of whiteboard drawings of website designs suggested by the UX team and deliver finished website designs– which can then be used by the Software developing team. If this workflow is successfully implemented, it could save countless man-hours and speed up the feedback loops associated with attempted improvement within the website’s UX.
- Collect info from numerous of HotJar operators and operate it on machine learning algorithms to endeavor out common deadfalls and sources of user interference. Analyze the info and find patterns in how, when, and why user confusion occurs.
- Develop a model connecting HotJar and A/B testing data, including the Google Analytics information and data on cart abandonment to offer enhanced designs that strength end in extended time used on the location, higher customer purchase, or extra goal, as specified by the department.
- Try to predict the success of varied layouts proposed by the UX team.
As we will see, it’s tough to explain the role of an AI Engineer, partially due to the sector being very young, and since each business will have its own specific implementations of artistic automation methods.
Also Read: Career Opportunities in AI
AI Engineer Salary Trends in India/US
AI Engineer gets really a good package whether it’s India, USA or some other country they are offered really good package. To be honest, AI Engineers are the one who gets the most decent salary. The national average salary for AI Engineers in India is about ₹8,70,030 per year in India.
AI Engineer Salary: Based on Company
|Company||Salary in ₹|
AI Engineer Salary: Based on Experience
|Experience||Salary in $|
|0-2 Years||$20,000- $50,000|
AI Engineer salary based on Skills
Skills Required to be an AI Engineer
There are several skills that are essential for an AI engineer.
Two of the leading essential technical skills for an AI engineer to learn are programming and math/statistics.
Programming: Software developers shifting into an AI role or developers with a degree in computer or any technology probable have now got a hold on a couple of programming languages. Two of the foremost commonly used languages in AI, and specifically machine learning, are Python and R. Any aspiring AI engineer should have a minimum of being conversant in these two languages and their most ordinarily used libraries and packages. An AI Engineer should be good with Big data, Algorithms, Computer vision, Deep learning, etc.
Math/statistics: AI engineering is quite just coding. Machine learning models are supported mathematical concepts like statistics and probability. You’ll also get to have a firm grasp on concepts like statistical significance once you are determining the validity and accuracy of your models.
AI engineers don’t add a vacuum. So while technical skills are going to be what you would like for modeling, you’ll also need the subsequent soft skills to urge your ideas across to the whole organization.
Creativity – AI engineers should grow on the sentinel for duties that individuals do ineffectively, and machines could do properly. You ought to stay au courant new AI applications within and out of the doors of your industry and consider if they might be utilized in your company. Additionally, you shouldn’t be afraid to undertake out-of-the-box ideas.
Business knowledge – It’s essential to recall that your position as an AI engineer is assumed to furnish value to your organization. You can’t provide value if you don’t really understand your company’s interests and wishes from a strategic and tactical level.
A great AI application doesn’t expect much if it isn’t appropriate to your organization or can’t promote business services in any way. You’ll get to understand your company’s business model, who the target customers and targets are, and if it’s any long- or short-term product plans.
Communication – within the role of an AI engineer, you’ll have the chance to figure with groups everywhere in your organization, and you’ll get to be ready to speak their language. For instance, for one project, you’ll have to:
Discuss your needs with data engineers in order that they can deliver the proper data sources to you.
Explain to finance/operations how the AI application you’re developing will save costs by the end of the day or usher in more revenue.
Work with marketing to develop customer-focused collateral explaining the worth of a replacement application.
Prototyping – Your ideas aren’t necessarily getting to be perfect on the primary attempt. Success will depend upon your ability to quickly test and modify models until you discover something that works.
How to be an AI engineer?
To be a successful AI engineer, you need to learn several skills from various fields. An AI Engineer should get a technical degree, for example, B.e or B.tech in Computer science or IT. Other than those skills, you should also have some skills. Below is the list of those skills.
AI engineers build AI models using algorithms, which rely heavily on statistics, algebra, and calculus. Additionally, you’ll attempt to be conversant in probability to interact with a number of artificial intelligence’s commonest machine learning models. This includes Hidden Markov, Gaussian mixture, and Naive Bayes models.
To gain accomplishment as an AI engineer, you’ll need a strong experience of traditional programming languages like C++, Java, and Python. You’ll frequently employ these programming languages to develop and deploy your AI models. AI engineers may use these skills to write down programs that allow them to analyze various factors, make decisions and solve problems.
AI engineers are regularly asked to review and evaluate important information. To try to do this adequately, you’ll necessitate to analyze information, develop insights and brainstorm for possible solutions. Engineers during this field could also be liable for drawing insights from large volumes of knowledge by breaking them down into smaller parts.
Successful AI projects can solve most issues associated with an organization’s operation. Maintaining business intelligence permits you to transform your technical concepts into practical business projects. No matter the industry you’re working in, you’ll attempt to develop a basic understanding of how businesses operate, their target audiences, and competition within the market.
Artificial intelligence developers are often required to speak technical information to a good sort of individuals with varying degrees of technical expertise. For instance, you’ll be asked to implement and present a replacement AI model to each department in an organization. You’ll require good written and verbal communication skills to speak complex ideas and ideas in ways in which everyone can understand.
Individuals in this field often work within a team of other AI developers and IT professionals. It’s beneficial to develop the power to figure efficiently and effectively within a team. You’ll need to integrate with small and enormous teams to figure towards achieving complex goals. Considering inputs given by others and contributing your ideas through effective communication can cause you to be an honest team player.
Critical Thinking Capability
To come up with innovative AI models and technological solutions, you’ll need to generate a spread of possible solutions to one problem. You’ll even have to analyze available data quickly to draw plausible conclusions from them. Though you’ll learn and develop many of those skills while pursuing your undergraduate degree, you’ll search for additional experiences and opportunities to develop your abilities in this area.
What are the Advantages of a AI Engineer Course?
AI technologies are ready to bring a revolution in human lives, transforming the economy globally, creating a high demand for related jobs.
A career in AI is the future proof meaning the roles are likely to survive well into the longer term. AI is outperforming humans in sectors like marketing, communication, automation, finance, sales, analysis, and more.
AI is predicted to extend the typical income between 20-30% by 2030, as per reports. Another report by Gartner suggests that by 2020, there’ll be 25 billion connected devices, indicating the long term of AI.
1. What is the salary of an AI Engineer?
As per glass door, the AI engineer’s average salary is often $116,549 per year.
2. What is the salary of an AI Machine Learning Engineer?
As per Indeed, the AI machine learning engineer salary is often $150,300 per annum on average.
3. What is the hourly salary of an AI Engineer?
The common hourly payroll of AI engineers varies between $42 to $50 per hour.
4. What is the salary of an AI engineer in the US?
The AI engineer salary within the US is $111,187 on an average a year and $53 per hour just in case you choose to freelance or on a contract basis.
5. What is the educational qualification required to be an AI Engineer?
AI engineering may be a developing career field that will provide an abundance of opportunities in the future. The essential qualification to become an AI engineer may be a baccalaureate in a related field, like information technology, computing, statistics, or data science. After gaining a baccalaureate, you’ll also pursue a postgraduate degree specializing within the specific field of AI. Earning data science, machine learning, and deep learning certifications are often very beneficial during a job search and may offer you a comprehensive understanding of relevant concepts. You can take up various Artificial Intelligence Courses offered online and upskill today.
6. Which engineering degree is best for artificial intelligence?
There are graduate, post-graduate, and certification courses in engineering that permit you to specialize in AI, machine learning, and deep learning. These include engineering degrees in IT, computing, and data science. Popular degrees and diplomas include B.Tech (Bachelor of Technology) in AI, B.Tech in computing Engineering, B.E. (Bachelor of Engineering) in AI, and M.Tech (Master of Technology) in computing Engineering.
7. How do I start a career in artificial intelligence?
AI engineers work closely with machine learning algorithms and other AI tools for the development of AI. To become successful at their job, they’ll get to have good programming and software development skills. Consider developing these early at college or with the assistance of online resources and forums.
Once you’ve got gained the required educational qualifications, you’ll start applying to entry-level jobs. This might provide you with the experience you would like to advance into higher positions. Periodically pursue online certification courses to stay up-to-date with changes within the AI industry.
8. What am I able to do as an AI engineer?
Al engineers are problem solvers who connect the passage between human understanding and computer-generated outcomes. They’ll perform a spread of job roles concerning data processing, data analysis, research, design, and programming. AI is dynamic technology with applications in almost every field. The utilization of AI may grow exponentially in the future, and AI engineers may have ample career opportunities. Machine learning and AI are developing specialties that will have an outsized impact on the general success of companies and organizations.
If you are someone who is interested in technology and good with mathematics and good with computers, then you can good to go for AI Engineer. You have to get a proper degree to be an AI Engineer, but still, you can learn the basics from online courses.
0 Source: GreatLearning Blog