Scope Of Machine Learning Professional

Scope of Machine Learning Professional

Scope Of Machine Learning Professional

Machine learning is one of the most demanding skills today. People who have basic skills and knowledge are getting more opportunities. According to a report by Indeed, machine learning engineer is the best job in 2019 due to growing demand and high salaries. The average salary of $146,085 with a growth rate of 344 percent in the last year. Due to the increase in machine learning application and demand, it has become the best career option in recent times.


Scope Of Machine Learning Professional


If you are a student who is currently looking for the best career option or a graduate who wants to apply for a higher study can choose machine learning as a career path.People with 3-4 years of experience can expect a high salary with the growth of careers.


There are so many posts you can choose to join machine learning.You can apply for a machine learning engineer, algorithm developer or post like a business analyst.This is actually based on your qualification and experience.Choosing a machine learning course is the best option for a career growth.


These are some of the scope of machine learning professionals.


Machine Learning Engineer :

Machine Learning Engineer creates algorithms to understand and analyze meaningful patterns from humongous amounts of data. The Machine Learning Engineer is a skilled programmer and has very good problem-solving skills. They are capable of building highly distributed systems and works in a team to focus on personalization. This is one of most demanding post in machine learning.


Machine Learning Engineer


Data Scientist :

The data scientist is responsible for collecting,analyzing,and interpreting large amounts of unstructured data. They use machine learning algorithms and predictive analysis to derive insights and help to develop future strategies. The Data Scientist is experts in R, SAS, Python, SQL, Matlab, Hive, Pig, and Spark. They manage and structure a large amount of data from different sources.


Data Analyst :

The Data Analyst analyzes data and finds the trends. They basically work with huge data. They use Hadoop based analytical tools and business concepts. They are highly skilled in mathematics, statistics, machine learning, and programming. The core responsibility of a Data Analyst is designing and deploying algorithm to analyze data. The Data Analyst is one of the most demanding job roles that companies offer now.


Data Architect :

The Data Architect is responsible for taking care of companies Big Data ecosystem. They develop and construct the data management system by using Machine learning algorithms. They are very skilled in Hadoop, MapReduce, Hive, MySQL, Cassandra, MongoDB, NoSQL, SQL, Data streaming, and programming. In addition, they are proficient in R programming, Python, C++, and other programming languages


The Future Scope Of Machine Learning Profession:

The future of Machine Learning looks Bright because the industry demand is very huge. Currently, there are not enough Machine Learning professionals as compared to demand. This is a data-driven world. Where data helps to grow a company.

So, Companies now collect as much data as possible. But just collecting data doesn’t make any sense. They need to be arranged in a systematic way and companies need professionals to mine the important data to improve their services.

Search engines to E-commerce websites, everyone uses machine learning to provide the best search results and recommendations. Machine learning has lots of applications in different industries. That’s why Machine learning professionals are in huge demand. People who are skilled and have good knowledge of machine learning can get more opportunities in their careers.

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