The next skill we will be going over is machine learning.
Machine learning engineers on Upwork charge anywhere between $25 an hour to $50 an hour.
And data scientists on Upwork charge anywhere from $25 to $50 per hour as well.
Machine learning is considered a branch of artificial intelligence or A.I. and machine learning is basically
the practice of computer science, where data and algorithms are used to replicate human learning.
As machines learn, they show gradual improvement in their accuracy and in their effectiveness.
So if you do have a passion for data science, computer science, artificial intelligence and cutting
edge technologies, you may have what it takes to become a freelance machine learning engineer.
Machine learning engineers, also referred to as data scientists, are responsible for designing and
building artificial intelligence based algorithms whose purpose is to continuously learn to ensure the
algorithms continue to learn.
Machine learning engineers are tasked with assessing, analyzing and organizing more data in order to
optimize machine learning capability.
Freelance machine learning engineers are called upon by a variety of different clients across multiple
industries to incorporate machine learning capabilities into their operations.
So that's often undertaken as part of an organization's overall artificial intelligence initiative.
And machine learning projects are often implemented to streamline different tasks that were historically
handled by humans.
Now, as a result, staff can be deployed to handle more customer facing value added tasks as more companies
implement these types of machine learning changes.
The demand for machine learning freelancers will continue to grow, which is why it is such a great
skill to start to develop if you are interested in it.
The machine learning skill set consists of the following.
The first is principles of deep learning through understanding of the principles of deep learning and
machine learning.
Those are the skills that will help you and enable you to learn how to become a machine learning engineer,
as well as leverage all the available technology to ensure the machine learning achieves its purpose
while also handling the tasks that it is set out to do while also continuing to learn.
That is really the whole thing here is that it's not only to solve a problem, but it's also designing
it in a way where it is actually learning and getting better at providing that task.
As time goes on.
The next skill in the machine learning skill set is software engineering.
Now you want to have some software engineering skills because machine learning engineers should be adept
at handling a variety of different software engineering responsibilities, including writing algorithms,
natural language processing and more.
Next is data science.
You want to have some sort of familiarity with data science because a machine learning engineer will
be dealing with a large data set and they need to know how to process them via Python, Java and SQL.
In addition, machine learning engineers should have knowledge of data modeling, big data hypothesis
testing and mathematics proficiency.
And lastly, problem solving skills is a very vital part of a proper machine learning skill set.
Now, machine learning is no different than any other type of project where you are going to be problem
solving.
However, as a machine learning engineer, your job is to actually write the algorithms designed for
automation.
And this is where some of the challenges and obstacles come up, that it's your job to overcome those
and to deliver solutions that successfully streamline the intended workflow.
And it's all about replicating the human logic, and that is what requires extensive software development
and problem solving skills.
And even before they occur, machine learning needs to pretty much understand when a problem may come
up and then have that machine actually be able to handle it and solve it itself.
So to summarize, as a machine learning engineer, you want to focus on your problem solving skills,
your time management skills as well, because excellent time management skills allows freelancers to
successfully juggle complex and competing priorities and arrive at solutions that meet their clients
objectives as well as communication.
Because most machine learning projects involve extensive teamwork and collaboration with various different
stakeholders.
So communicating effectively in writing as well as verbally goes a long way in eliminating misunderstandings,
as well as providing project clarity and articulating potential alternatives that may be more suitable
in the long run.
As it relates to the Machine Learning Project that you are working on.
As a machine learning engineer.
A healthy curiosity, especially regarding technology, is important.
Virtually all computer programming and algorithm based work involves a high degree of curiosity.
A healthy curiosity often separates exceptional freelance machine learning engineers from average ones
who struggle to find work in charge.
What they are really worth.
To summarize, machine learning engineers typically charge a median hourly rate of $25 an hour to $50
an hour, and their top hourly rate is $100 plus per hour while the demand is medium and the competition
is low.
So once again, just like with data visualization, the demand is pretty substantial.
However, the competition isn't that intense.
So this is a great skill set to get into.
If you have everything we went over, if you have that curiosity and you are deeply interested in machine
learning and A.I., this can be a great skill for you to develop.
I'll see you in the next lesson.