Title: Exciting Career Paths for Machine Learning Engineer!
1Synergisticit
The best programmers in the bay areaPeriod!
2Exciting Career Paths for Machine Learning
Engineer!
- Machine learning sector has seen tremendous
growth in the past few years. According to
Indeed, machine learning engineer jobs saw a
growth of 344 in the year 2019 with an average
annual salary going as high as 146,085. That is
the reason why a lot of programmers are showing
interest in this domain.
3What is Machine Learning?
- It involves the use of Artificial Intelligence to
help machines gain experience on their own and
increase their proficiency in resolving said
tasks. The process begins by feeding relevant
data and different algorithms to the machine
which is then used to automate a particular task.
4- Careers that Machine Learning Certification in
California can prepare you for!
5- Machine learning is an art and a very creatively
demanding field. So if you are up for the
challenge then you can try your hands at the
below exciting career opportunities
6Machine Learning Engineer
7- Their job is to run experiments using programming
languages like Python, Java, Scala in order to
attain certain goals. If you want to be a machine
learning engineer then you should have skills
like data modeling, probability, System design,
Statistics etc. Their main job is to create
different algorithms that can run on their own
with minimal human administration.
8Data Scientist
- Data scientists help collect and analyze a large
portion of data to generate actionable insights.
These results are then used to make better
professional decisions. You need to know Hadoop,
Hive, Spark, Pig etc along with languages like
Scala, Python, Perl etc to be a data scientist.
9NLP Scientist
- Natural Language Processing or NLP is a
profession that gives you the ability to make
computers understand human language. NLP
scientists basically create a machine that can
recognize speech patterns and convert it into a
language that it understands. So they should be
fluent in spelling, grammar and syntax of at
least one language so as to help a machine
acquire it too.
10Business Intelligence Developer
- They work like a data scientist but with an aim
to make a business more successful. In simpler
terms, they use data learning to help make better
corporate decisions. You need to know languages
like SQL, Scala, Perl, Python etc along with some
business analytics services to build a career in
this domain.
11Machine Learning training in bay area
Whatever you decide to become, it is important
that you get your training at the best place so
as to increase your chances of being successful.
Sign up with SynergisticIT to gain real world
experience and meet your career goals with the
help of experienced teachers.
12THANKS!
- Any questions?
- You can find me at
- https//www.synergisticit.com/