1
In today's environment, Machine Learning has gained traction. The field has been applied in a variety of ways, opening up a world of possibilities. Because of its ability to learn, adapt, and complete tasks, machine learning is one of the most popular technologies in the present automation market.
NOW, AS THE ADOPTION AND DESIRE FOR ML DEPLOYMENT INCREASE WITH EACH PASSING DAY, THE DEMAND FOR PROFESSIONALS IN THE ML ARENA HAS INCREASED AS WELL.
The following are some examples of roles and Jobs in Machine Learning
1) Data Scientist
2) Cybersecurity Analyst
3) Cybersecurity Automation Specialist
4) ML Developer
5) Applied Scientist
6) ML Engineers
Machine Learning isn't just restricted to these or a few other professions; it's found its way into a variety of industries that have included ML into their processes and are looking for someone to assist them in maximising their performance with this technology.
And some of the much needed technical skills would be –
1) Software Architecture
2) Software Development
3) Data Infrastructure
4) SQL
5) Python
Taking professional certification classes and even attending hackathons and webinars can help you improve your machine learning data abilities and pave the way to the ML job of your dreams!
_thumb.png)
