AI jobs are becoming a lucrative career option as the use of AI is becoming more crucial.
AI engineers are responsible to build AI models using machine learning algorithms and deep learning neural networks to draw business insights.
To become an AI engineer, the candidates must possess a deep understanding of programming languages, software development, and data science.
Aspiring research scientists should have multiple degrees in domains like computational statistics, applied mathematics, and machine learning.
Data engineers work in a variety of settings to build systems that collect, manage, and convert raw data into usable information for data engineers, scientists, and business analysts.
ML engineers possess data management skills to handle the vast amounts of business data and insights.
BI is a huge part of artificial intelligence because the candidates are responsible for optimizing a variety of business processes with their analytical and BI-centric.
AIOps engineers develop and deploy ML algorithms that analyze IT data and boost the efficiency of IT operations.
Cloud architects are responsible for managing the cloud architecture in an organization. This profession is gaining more momentum as cloud technologies are becoming more complex.
Computational linguists take part in the creation of ML algorithms and programs that are used for developing online dictionaries, virtual assistants, and robots.
Human-centred AI systems designers make sure that intelligent software is created by keeping the end-user in mind.