Career in Machine Learning

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machine learning career

Machine Learning is one of the most popular career paths of the decade. You would be wondering - How come it became so trendy? This is because almost 90% of the data has been produced in the last 2 years.


What is Machine learning? A machine that can learn from huge data factory and the previous experiences to bring out trends and optimal solutions, all without any external intervention. It is achieved by training the machine through certain algorithms & models after inducing quality data into it.

According to Indeed, Machine Learning is the best job in 2019 with 344% more growth from the past.

The above paragraphs clearly explain the concept of machine learning. Like all other niches, even machine learning has a list of job roles under it. Let's discuss them and hence career these offers.

Data Scientist: Data Science is recognized as the sexiest job of the 21st century by Haward Business Review. There is an abundance of crude data (mostly generated in the last two years and also known as Big Data) and Data Scientists work to bring out valuable insights from it. The responsibilities of a Data Scientist are the communication of information, declaration of latest trends, and to bring out solutions that can prove worth for the company's business. The skills required by a data scientist are Statistics, Mathematics, Computer programming, and other operational researches.


Machine Learning Engineer: A Machine Learning Engineer is responsible to perform experiments using programming languages like Python, SQL, etc. to bring new advancements in machines. Hence, he analyses the crude data to create new algorithms that can enhance the machine to work with the least human supervision. The skills required by a data scientist are Probability, Statistics, Algorithms, system design, and computer programming.


Designer in Human-centered Machine Learning: Let's start with the example of 'Netflix'. You get recommendations according to your preferences and previous interaction with the application. In short, the machine recognizes the human patterns and activities and display results accordingly to simplify their work.


Natural Language Processing (NLP) Scientist: It is the ability of the machine to understand the human language. Thus, Natural Language Processing Scientists work on the machine that can recognize the human speech pattern, understand it, and translate the words into our language. The skills required by an NLP scientist include that must be very fluent and precise with the grammar of any language that he speaks for assisting the machine to learn a new language.

Though Machine Learning is trending today, according to Van Loon, it is very difficult to determine the future of any technology in this superfast era of advancements. But, if we talk about the present day, we have a huge gap in advancement today because of a lack of trained Machine Learning professionals.


This is a clear indication of the number of jobs this field is offering today. It's better if you, as an aspirant put your steps towards this field and thus pace up with the advancing technology. This demands a good base of enhanced skills and good experience.


Check out our Comprehensive learning paths to start your machine learning and deep learning journey today. These paths have been created after taking inputs from industry mentors.

So choose InsideAIML

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