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AI Engineers: Your Definitive Career Roadmap
Artificial Intelligence   Latest   Machine Learning

AI Engineers: Your Definitive Career Roadmap

Author(s): Jennifer Wales

Originally published on Towards AI.

AI Engineers: Your Definitive Career Roadmap

Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job.

As one of the biggest trends in the emerging IT industry, artificial intelligence (AI) is poised to become the next big thing in technology. Due to its growing appeal, a lot of hype has been created about the amazing potential it can provide to both large and small businesses globally.

AI has proven to be a boon for the modern world, with applications across tech innovations like IoT (Internet of Things), AR/VR, robotics, and more. Choosing to work as a professional AI engineer can be a lucrative career option.

Important Facts About AI Engineer Salary In the USA

· According to Glassdoor research, the average yearly salary for a certified AI engineer in the US is $1,34,373 per year.

· According to a LinkedIn survey, with an 81% growth rate, AI intelligence specialists are expected to be among the top 15 developing careers in 2023.

· According to a study by Indeed, the average base pay for AI engineers in the US might reach $2,04,229 annually.

These statistics only show a glimpse of the opportunities the AI-based job market brings to engineers wanting to pursue a career in the US.

Day in the Life of an AI engineer

AI engineers work in various industries as specialists in data science, software engineering, and programming.

AI engineers usually work in an office environment as part of a team. They work along with data scientists, information technology specialists, and other engineers in their AI career to design, develop, and deploy applications and systems that can handle complicated tasks.

The key responsibilities of an AI engineer include the following:

· Create algorithms

· Convert ML models to application program interfaces

· Develop, test, and initiate AI models

· Build and maintain AI systems

· Set up and manage AI development processes

AI engineers develop advanced learning models applicable to manufacturing, finance, healthcare, and business enterprises alike.

Skills Needed as an AI Engineer

As an AI engineer, you require a blend of soft and hard skills.

Hard skills entail skills related to mathematics, computers, and engineering. Coding, algorithms, statistics, and big data technologies are especially crucial for AI engineers.

AI engineer skills also include strong soft skills that enable you to connect with coworkers, collaborate with them, and succeed in the job. These include the ability to solve problems and communicate. Soft skills are important in computer science careers as well.

Hard skills

· Software languages like Python, C++, and Java

· Physics, cognitive language theory, and mechanics

· Linear algebra, probability, and statistics

· Robotics, machine learning

· Data structures, logic, and efficiency

Soft skills

· Verbal and written communication

· Teamwork

· Active listening

· Critical thinking

· Time management

· Curiosity and creativity

Eligibility Criteria to Become an AI Engineer

A bachelor’s degree in computer science, software engineering, or a similar discipline is the minimum qualification to work as an AI engineer. A master’s degree in software engineering or a related field is often preferred by employers.

In order to have a good knowledge of data science, statistics, machine learning, and mathematics, AI engineers also need to be very skilled programmers.

Coursework, along with practical requirements during a degree, set the basis for the workforce. Experience working in data analysis, software development, and business is also crucial for an AI engineer.

To set yourself apart from others, invest your time and money in the right AI engineer certification that is designed to upskill AI engineering aspirants.

Certifications for AI Engineers

A promising career in artificial intelligence can be achieved by gaining in-depth knowledge of the technology.

A prestigious AI certification will help you stand out from the crowd and demonstrate to potential employers that you possess the knowledge and abilities they are seeking.

Certified Artificial Intelligence Engineer (CAIE™) by the United States Artificial Intelligence Institute (USAII®) is one of the most popular certification programs. This course is highly recommended for undergraduates, graduates, and diploma students globally preparing for AI and ML careers.

Enrolling in this course gives you the expertise, aptitude, and talent you need to embark on your journey in the emerging AI and ML fields. Engineered by the top 15 SMEs and industry experts, this artificial intelligence engineer certification expects you to learn AI on the cloud, machine learning algorithms, Python, machine learning pipelines, NLP fundamentals, and more.

CAIE™’s self-paced learning format enables candidates to learn through study books, hands-on videos with practice code, and eLearning materials with workshops. Around 8–10 hours per week is all that’s needed to complete the entire course.

Scope of Working as an AI Engineer

In an industry-level study, the majority of industries currently need AI-driven technologies and techniques to increase efficiency without raising costs. The top industries seeking AI engineers are technology, healthcare, gaming, finance, retail, national security, etc.

Besides the AI engineer job profile, all other AI-related careers are considered future-proof because, provided the strong support that technologies such as artificial intelligence are getting for the transformation of the global economy, such skill sets will be needed to survive future global competition.

This suggests that regardless of experience level or the start of your career, engineers with knowledge and experience in AI are offered a daily updated trend in career growth.

Continue learning by enrolling in the best AI ML Engineer certifications and putting your knowledge to work in the real world if you want to improve and explore more employment options in AI and other technologies.

In Conclusion

Jobs in AI engineering bring together data science, computer technology, and software engineering at the forefront of the IT sector.

Become an AI engineer to expand your career opportunities and work in many industries. It might be time to move ahead and pursue a career in AI engineering with a strong projected job outlook and a lucrative salary.

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Published via Towards AI

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