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Careers in AI
AI in the broader general field entails several subfields such as Machine Learning, Robotics and Computer
Vision. Official AI market worldwide projected to grow $284 billion driven by a compounded growth 43.9%. AI
is emerging and these definitions and job titles dramatically change depending on the size of the company and
the industry as well. Let us discuss some of the career options in AI.
Data Scientists
The field of Data Science is the science of extracting useful information from a large unstructured amount of
data. The goal of data scientists is to solve company problems using data. Data science includes data collection,
data cleaning, visualising, analyzing it and creating predictive models based on the data. Data scientists job
possibilities vary greatly depending on the size of the company. Generally, data scientists analyze big data,
perform data testing and build simple statistical models in scikit-learn (free software machine learning library for
Python). Data scientists should have a foundation in mathematics, statistics, probability and some knowledge
of machine learning as well. Preferably data scientists have a computer science degree with aptitude for coding.
Machine Learning Engineer
They are essentially computer programmers with software skills who can train and deploy complex predictive
models. They program machines to perform specific tasks that could add business value. They are software
engineers who specialise in machine learning. They must go through iterations of machine learning workflow
such as model building training, testing of hyper parameter optimization and deployment of the models in
production. Machine learning engineers need understanding of various tools and frameworks to build and train
AI and ML models.
Robotics Scientist
They build mechanical devices—robots to perform tasks that can assist humans. Robotic Scientists jobs include
design, construction, operation and maintenance of robots. They also conduct research to find the most cost-
efficient and safest process to manufacture their robotic systems. It is projected that the robotics engineer job
market is expected to increase by 6.4 percent between 2016 and 2026.
AI Research Scientists
They are PHDs computer scientists who publish research papers in AI and create new boundaries of science in
AI. They possess expert level knowledge in AI in general, in deep perception and computer learning perception.
They undertake extensive research in applications of machine learning and machine intelligence.
AI Architects
They are responsible for developing architecture of the AI project, managing the overall strategy, coordination
and planning of the AI project as well. They have many years of experience in developing AI and ML projects. They
need to understand clients' needs, formulate system level requirements, choose the right technology, create and
maintain in architecture using cutting-edge high-tech frameworks and translate customer requirements into
business solutions that can be effectively implemented.
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