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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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