Data Science Engineer  VS  AI Engineer Make The Right Choice

BY - srishti verma

Here are the differences between data science engineers and AI engineers

Data Science Engineer They draw important conclusions from huge datasets. To address difficult business issues, they create and implement data-driven solutions, do statistical analysis, and create machine-learning models

Key responsibilities of a Data Science Engineer include:

Data Collection and Cleaning

Model Development

Data Visualization

Big Data Technologies

AI Engineer The creation and implementation of artificial intelligence systems that can carry out activities that ordinarily call for human intelligence is the responsibility of AI engineers. AI engineers work on innovative projects that push the limits of what AI is capable of.

Key responsibilities of an AI Engineer include:

Algorithm Development

Model Training

Deployment

Natural Language Processing (NLP)

Computer Vision

Deep Learning