Demystifying ML Job Roles: Data Engineer, Data Scientist, ML Engineer, Research Engineer, Research Scientist, Applied Scientist

🔍Data engineers are responsible for building data collection pipelines and managing data flow within an organization.

🧠Data scientists analyze data to extract business insights and use machine learning to make predictions.

💻ML engineers turn data into products and build machine learning applications using software engineering skills.

🔬Research engineers implement ideas developed by research scientists and conduct experiments.

🎓Research scientists explore various domains of machine learning, develop hypotheses, and validate them through experiments.

What is the role of a data engineer?

—Data engineers are responsible for building data collection pipelines and managing the flow of data within an organization.

What is the main goal of a data scientist?

—The main goal of a data scientist is to analyze data and extract business insights using statistical methods and machine learning.

What do ML engineers do?

—ML engineers turn data into products by building machine learning applications using software engineering skills.

What is the role of a research engineer?

—Research engineers implement ideas developed by research scientists and conduct experiments to test and validate hypotheses.

What is the role of a research scientist?

—Research scientists explore different domains of machine learning, develop hypotheses, and conduct experiments to validate their ideas.

00:00This video explains the key differences between various machine learning job roles.

01:20Data engineers are responsible for building data collection pipelines and managing data flow within an organization.

02:44Data scientists analyze data to extract business insights and use machine learning to make predictions.

04:51ML engineers turn data into products and build machine learning applications using software engineering skills.

11:56Research engineers implement ideas developed by research scientists and conduct experiments to test and validate hypotheses.

09:50Research scientists explore different domains of machine learning, develop hypotheses, and conduct experiments to validate their ideas.