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#Artificial Intelligence
“The science and engineering of making intelligent machines, especially intelligent computer programs,” John McCarthy, father of Artificial Intelligence, said.
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The basic definition of Artificial Intelligence (AI) is developing a technology that infuses computers, robots, machines and other devices with intelligence that is similar to a human’s. In other words, computers will essentially be able to use reasoning, learning, and problem solving abilities to accomplish tasks on their own.
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In today’s day and age, everything from Google’s search algorithms and IBM’s Watson to self-driving cars and autonomous weapons of war make use of AI technology.
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AI is the future of computer technology which means that there is no dearth of jobs in this field at the moment. If you are an innovative developer with all the right qualifications and expertise in the field of computer programming, you could be working as an AI engineer or an AI Architect.
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Some of the sub-fields for an AI Scientist to get jobs in are Expert Systems, Robotics, Evolutionary Computation Neural Networks, Speech Processing, Natural Language Processing, Planning, Machine Learning and others.
A keen interest and knowledge in the following fields is required for becoming an AI engineer:
Mathematics: specifically, probability, statistics, algebra, calculus, logic and algorithms.
Computer science, coding and programming languages (Python, C++, JAVA, etc).
Physics, engineering and robotics.
Graphical modeling (including neural nets) or bayesian networking.
Cognitive science theory
If you have knowledge in all the above-mentioned areas, you qualify for jobs in the following multiple fields. Some of the world’s biggest brands AI professionals, for the following roles and designations:
Artificial Intelligence Programmer
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Machine Learning Engineers
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Data Scientist - Artificial Intelligence
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Data Scientist - Neural Networks/Deep Learning
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Senior Principal (VP) - Artificial Intelligence
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Computer Vision Specialist
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Research Scientists / Applied Research Scientists
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Distributed Systems Engineer
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AI Interaction Designer
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1O
AI Trainer
The role of AI has expanded in the following industrial sectors:
Autonomous Vehicles
Chatbots
Robotics
Voice-based personal virtual assistants like Cortana, Siri, and Google Now
Online Customer Service
Home Appliances like Google Home and Nest Learning Thermostat
Product applications for user value creation
Business Intelligence Apps Built on Machine Learning
Sales Enablement
Monitoring Machine Fleets and Factories
So, what do AI engineer do? Here are some details:
AI software development and program management: People holding undergraduate degrees in fields such as computer science and engineering are hired to build infrastructure and systems capable of applying machine learning to a provided data input set. Some understanding in AI technology and strong mathematical skills are required for the job.
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Machine earning apps: Top companies often need apps to be programmed in a specific way that can accomplish tasks like recognizing gestures, analyzing advertisement and web content for marketing campaigns or detecting monetary frauds.
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Machine learning researcher: AI is a field that is still growing, as researchers test the limits of existing technologies and come up with more advanced theories that can be applied in an array of domains. If you hold Masters or Ph.D. in a STEM-field, you could be the one in-charge of improving machine learning and robotic algorithms.