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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 to review or
approve designs, calculate cost estimates depending upon
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

Science, mathematics or applied mathematics, electronics, psychology and cognition.

Computer Vision Engineer

Digital landscape is changing faster than anything. Computer
Vision Engineer jobs have shown 116% growth between 2015

and 2019. Some areas of work include face recognition, camera
calibration, computer vision and surveillance. The workplace may
be related to medicine, defence, manufacturing and various types
of monitoring, etc.

Necessary Skills

A Computer Vision Engineer is expected to have mastery over:

Image generation and segmentation

Classification of images

Object detection and tracking moving object over time

Optical character recognition

Face detection and recognition

Data Scientist

This field has shown immense growth over the years. A
data scientist is responsible for collecting, analysing and
interpreting huge amount of data. A data scientist’s role
is a combination of several traditional technical roles like
mathematician, computer professional and statistician.

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