An Ultimate Guide To Become a Professional AI Engineer
Read the ultimate guide to becoming an artificial intelligence engineer that may help you know what skills and AI engineer certification to outshine in this field.
Artificial Intelligence is the hottest topic about which we’re hearing every now and then. Undeniably, it is emerging and leaving a great impact on people’s routine lives, social interactions, and even entertainment from the world of work.
Experts predict that AI will bring drive businesses into the next generation and transform data management, improving the complete customer experience.
Influence of AI on Businesses
Everyone likes to discuss artificial intelligence for business development — but how it is influencing businesses? Here are some statistics to look at:
· Around 91.5% of successful businesses are investing in AI to take advantage.
· According to a TechJury article, approximately 35% of companies are utilizing AI and around 42% of companies are discovering AI to apply it in the future.
· According to Info-Tech Research Group, around 44% of private sector companies think to invest in AI systems in 2023.
Hence, there is an extensive adoption of AI in business. Various businesses are striving to get a competitive advantage by hiring capable artificial intelligence engineer with extraordinary skills and experience.
Did you know, AI engineering was one of 2021’s top fastest-growing jobs, as per Linkedin?
To explain to you what AI engineers do and how they actually make business functions well, we’ve come up with this comprehensive guide.
Keep reading!
What is an AI Engineer?
AI engineers are responsible to develop, program, and even train complex algorithm networks. This role needs skills such as programming, data science, data engineering, and software development.
AI developers find and source data from various sources to create and test machine learning models. They may use several APIs or embed code to create and integrate AI-powered applications.
Download Factsheet: https://www.usaii.org/ai-insights
What Do AI Engineers Do?
Even though this career is quite relevant to data engineering, AI professionals hardly write the code that converts to effective data sharing. Some of the responsibilities of an AI engineer involve:
· Working with professionals such as data scientists, coders, programmers, and other stakeholders
· Designing as well as managing the AI development process and the entire infrastructure of a product
· Performing statistical analysis as well as interpreting results to guide the decision-making process of the organization
· Automating crucial functions for a data science team
· Building infrastructure for data transformation
· Creating AI models
· Explaining the working of the AI models helps many individuals grow within the organization, such as product managers and stakeholders
· Improving machine learning models into APIs that enable other applications to interact without interruption
AI engineers can perform all the above-mentioned responsibilities if they have good AI engineer skills and expertise.
Average Salary for an AI Engineer
As organizations are taking advantage of AI, the demand for talented AI engineers also increases. U.S. Bureau of Labor Statistics recorded job growth for this category around 21% from 2021 to 2031, indicating how AI engineers are highly in demand.
Also, as per Glassdoor, the AI engineer’s average annual salary in the U.S. is $105,446. Also, tech giants like Apple, Google, IBM, Microsoft, and Tesla are one of the top companies that are seeking AI engineers, bringing them extremely lucrative career opportunities.
Step-By-Step Guide to Become An AI Engineer
Now, when you have finally decided to kickstart your career as an artificial intelligence engineer, you need the prerequisites that make you the better match for this job role. Here are the crucial steps that you need to follow:
Step 1: Gain the Education Required
Becoming an AI engineer needs a strong educational background. Generally, AI engineers have a bachelor’s degree in data science, computer science, or a related discipline. Also, getting a master’s degree in AI-related fields can be a plus point for your career.
Besides the education part, AI engineers should have strong programming languages and have a good understanding of applied mathematics and algorithms.
Step 2: Get Hands-On Experience
Gaining experience is important to become an AI engineer along with AI engineer skills. Think about applying for paid internships in AI-related fields to get knowledge about this profession and ready yourself accordingly.
Step 3: Build Technical Skills
When you have earned a degree and most of the theoretical knowledge about AI, take your focus on getting more technical skills. This involves becoming proficient in using AI tools that are used by AI engineers like natural language processing.
Step 4: Pursue Online Certification Courses
Look for a good artificial intelligence certification course to get the essential credentials to become a professional AI engineer. AI engineer certification courses available online or offline are designed to take your AI career to the next level.
Step 5: Build Your AI Portfolio
Your AI portfolio is the most effective way to showcase your skills and gained experience. It serves as strong evidence of your competencies, irrespective of your experience in AI.
Not only skills, but through portfolio, you can even showcase various AI projects you’ve worked on, and your professional growth goals.
Once you are done with the above-mentioned steps on how to become a good artificial intelligence engineer, the next crucial step is to apply for AI engineering jobs. This would be a great opportunity for you to demonstrate your expertise and skills to potential employers.
Skills to Master as an AI Engineer
It is observed that most professionals keep searching for AI skills on the internet that would make them eligible to apply for AI engineering jobs.
To answer this question, here is the list of the skills that you need to master:
Technical Skills
· Linear algebra, statistics, probability
· Data structures
· Physics, mechanics, cognitive language theory
· Software languages like C++, Python, and Java
· Machine learning, robotics
These AI engineer skills are paramount, but soft skills also play a crucial role in helping you bag a high-paid job and here they are.
Soft Skills
· Critical thinking
· Time management
· Verbal and written communication
· Teamwork
· Active listening
· Curiosity and creativity
Industries Where AI Engineers Can Work
There is not just one, but plenty of industries that are influenced by AI and thus looking for talented AI Engineers.
· In healthcare, AI is helping medical professionals to deliver a decent quality of patient care through virtual consultations and applications for patients to check their reports.
· In education, several AI algorithms are utilized to help people learn through various methods.
· In marketing, AI assists responsive advertising, data analytics, and crafting intelligent campaigns to improve the targeting capabilities of digital marketing and a lot more.
· In recruitment, AI is helping in making the candidate screening process smooth. Also, it helps in sourcing, with the assistance of data to the source. It has the ability to match candidates for every role enabling recruiters to identify passive candidates.
· In the automotive industry, AI has the power to control energy consumption and decrease road traffic accidents every year. AI makes vehicles understand their environment.
And the list goes on.
Outshine as an AI Engineer in a Competitive Job Market
Building a strong educational foundation in calculus, linear algebra, mathematics, and statistics is key to standing out in the competitive job market as an AI engineer. Becoming an expert in programming, developing a good skill set, and making an effective portfolio is also critical. Along with these, online AI courses to become skilled and gain certifications can even make your job profile professional and highly visible to recruiters.
