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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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