•What does an AI Engineer Do?
AI engineers build artificial intelligence models using machine learning algorithms and deep learning neural networks to derive business insights. These engineers also create artificial intelligence systems that are weak or strong depending on the goals they want to achieve.
AI engineers have a sound understanding of programming, software engineering, and data science.
AI engineers build different types of AI applications.
How to become an AI Engineer:
1) Obtaining a high school diploma and obtaining this certificate while specializing in one of the scientific disciplines, such as chemistry, physics, or mathematics.
2) By completing a bachelor's degree, you can enroll in special science and technology programs, or it is also possible to obtain an engineering degree in a field related to information technology or computer science, and you can join prestigious engineering institutions such as NITS, IITS, IIITS.
3) You can take a master's degree to give yourself a competitive shot at engineering careers in the field of artificial intelligence, and this will help you be more efficient.
4) Interested in obtaining certificates in the field of information technology and artificial intelligence by participating in courses related to this field. Or through available graduate degrees in artificial intelligence.
5) Gaining scientific experience. It is important to gain scientific experience through projects in the field of artificial intelligence engineering and information technology. In addition, online courses can provide structured teaching and mentorship, giving you the opportunity to work on real-life projects and receive instruction from industry professionals. Thus, by combining theoretical knowledge with practical experience, you can become a skilled engineer in artificial intelligence.
Responsibilities of AI Engineer:
As an AI engineer, you need to perform certain tasks, such as developing, testing, and deploying AI models through programming algorithms. Responsibilities include:
1) Converting machine learning models into application program interfaces (APIs) so that other applications can use them.
2) Build AI models from scratch and help stakeholders understand the results they gain from the model.
3) Build the data ingestion and data transformation infrastructure used by the data science team.
4) Conduct statistical analysis and control the results so that the organization can make better informed decisions.
5) Prepare, manage, and develop artificial intelligence and product infrastructure.
Skills required to become an AI Engineer:
1-Technical skills:
•programming skills.
•Linear Algebra, probability, and statistics.
•Spark and big data technologies.
•Algorithms and frameworks.
2-People skills
•Communication skills.
•problem-solving abilities.
•Domain Expertise.
•Time management.
•Team work.
•Business intelligence.
•Critical thinking ability.