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Machine Learning Engineer
The growth in this field has been 244% between 2015 and 2019. It is expected to grow further in
the coming years. Machine learning engineers are skilled programmers who develop machines and
systems that can learn and apply knowledge without precise direction from a human.
Necessary Skills
A Machine Learning Engineer requires to be exceptionally good at:
Statistics.
Deep learning, dynamic programming, neural network architectures, natural language processing,
audio and video processing, reinforcement learning, advanced signal processing techniques, and
the optimisation of machine learning algorithms.
Knowledge of languages like python and R.
Commonly used framework such as TensorFlow and PyTorch.
Robotics Engineer
The next growing career in AI is that of Robotics Engineer with 128% growth. These engineers
research, design, develop or test robotic applications. Their job also includes reviewing or approving
designs and calculating cost estimates depending on the workplace they are associated with. Usually
the workplace includes offices, manufacturing plants or laboratories.
Necessary Skills
A robotics engineer requires to be good at:
Creative ideas
Programming mind-set
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