Roadmap to becoming an artificial intelligence engineer
Original Source Here
Roadmap to becoming an artificial intelligence engineer
Market valuation experts assigned the global artificial intelligence market a value of $39.9 billion in 2019 with a projected Compound Annual Growth Rate (CAGR) of 42 percent from 2020 to 2027.
The world is constantly evolving with many technological developments in Artificial Intelligence (AI). AI has a massive impact on several machines from the android system in phones to web indexes and self-driving vehicles to other various electronic devices, the impact of AI is growing exponentially, it is estimated that AI will provide more than 2 million job opportunities within the next couple of years.
With the increase in interest in the field of AI, the demand for AI engineers has increased immensely.
In this article, let’s understand what an artificial intelligence engineer does, what prerequisites are, and what skills are required to be an artificial intelligence engineer, top U.S. states for AI jobs, which is the best artificial intelligence certification.
Job role of an AI engineer
AI engineers are mainly responsible for using several programming algorithms so that they can build, test and deploy various AI models. The following are the commonly found job responsibilities:
· Coordination with other team members
· Creating and managing the AI development process and end-to-end AI infrastructure
· Conducting statistical analysis and interpreting the results so that they can guide the company’s decision-making process
· Automating key infrastructure for the data science team
· Developing infrastructures for data transformation and ingestion
· Building AI models and explaining the usefulness of the AI models
· Transforming the Machine Learning (ML) models into APIs which other applications can interact with
Academic prerequisites
The field of AI is relatively new, so there are several different paths one can take to become an AI engineer. If an individual is hoping to begin a career as an AI engineer, then he/she should have this academic prerequisite:
Almost all the employers often require candidates to have a bachelor’s degree in a related field, such as:
· Computer science
· Data science
· Information technology
· Statistics
· Finance
Key skills to become an AI engineer
To be a successful artificial intelligence engineer, one needs to have the following technical and soft skills, including:
Technical skills
· Programming skills
The artificial intelligence engineer should have a firm understanding of popular programming languages, like C++, Java, R, and Python. That’s because they will need to use their knowledge of programming languages to develop and deploy various AI models.
· Statistics, probability, and linear algebra
AI models are built using algorithms that are heavily dependent on statistics, algebra, and calculus. Additionally, one must be familiar with probability to interact with the artificial intelligence’s most common ML models that include:
· Hidden Markov
· Gaussian mixture
· Naive Bayes models
Non-technical skills
· Collaboration skills
Individuals in this field often work within a team of other AI developers and IT professionals, so they should have the ability to work efficiently and effectively within a team.
· Critical thinking
To come up with innovative AI models and solutions, one should be capable of rapid prototyping. In other words, they must be able to come up with a variety of possible solutions to a single problem.
Though an individual can learn and develop many of these skills while pursuing their undergraduate degree. However, it is recommended to look for additional experiences like doing an artificial intelligence certification, which ensures to grow the abilities.
One such certification is Artificial Intelligence Engineer (AIE™) certification from the Artificial Intelligence Board of America (ARTiBA). It is considered as one best artificial intelligence certifications that empower individuals to enhance their skills and level up their career in AI.
Top U.S. states for AI jobs
According to TechRepublic “the states with the most number of AI jobs tend to have strong tech, healthcare, or government sectors.” The top U.S. states for AI jobs and their respective cities are the following:
State City/ Cities
California -San Jose, San Francisco, Los Angeles, San Diego
District of Columbia -Washington, D.C.
Washington- Seattle
New York -New York City
Massachusetts -Boston
Illinois -Chicago
Texas -Austin, Dallas
Wrapping up
If you are planning to become an artificial intelligence engineer then you should be ready with the right skillset and certifications. By, doing a certification AI one can establish themselves in a better job in a well-established organization.
AI/ML
Trending AI/ML Article Identified & Digested via Granola by Ramsey Elbasheer; a Machine-Driven RSS Bot
via WordPress https://ramseyelbasheer.io/2021/06/24/roadmap-to-becoming-an-artificial-intelligence-engineer/