Machine Learning technologies have a vast target audience including cloud service providers, network operators, data professionals, IoT manufacturers, training providers, and more. Therefore, there is a wide array of career opportunities in Machine Learning. Some of the most popular jobs in this sector are:
1. Machine Learning Engineer The primary job of a machine learning engineer is to design and develop ML platforms, run software tests and execute ML algorithms. They also perform in-depth research on various ML algorithms. ML engineers are master statistical analysts.
Salary: The average salary of a Machine Learning Engineer in the US is $140,308 annually.
2. Data Scientist A lot of companies hire data scientists in machine learning to deploy data models. Data scientists juggle colossal amounts of structured and unstructured data, aiming to find meaningful patterns hidden within. They work closely with data analysts and BI developers to transform these insights into business-ready information.
Salary: The average salary of a Data Scientist in the US is $117,168 annually.
3. Cloud Architect Machine Learning is an integral part of cloud solutions. Therefore, cloud architects must possess relevant ML skills. The role of a cloud architect entails building a cloud computing strategy, both front-end, and back-end development, and managing cloud apps.
Salary: The average salary of a Cloud Architect is $128,418 annually.