2. Reasons Of Job Role
Creation
Increase in data size (due to internet revolution and IOT)
Making faster preparation of ML models (separate job role
of everyone )
Increased accuracy (different skill sets are required for
different job roles )
3.
4. Data
Engineer
โ Collecting the relevant data
from various sources like 3rd
party APIs, IOT devices or etc.
โ Handling the raw data
โ Creating data pipeline.
โ Making data accessible to
others.
โ Handling both structured and
unstructured data must be
5. Data
Analyst
โ Pre-processing of the data
โ Draws the correlation in the
variable present in data set.
โ Visualization of the data.
6. Data
Scientist
โ Analysis the data
โ Deal with both structured &
unstructured data
โ Use machine learning
algorithms for prediction
โ Solving data related technical
issues.
7. ML
Engineer
โ Deploying the model
โ Provides the feedback based
on model accuracy.
โ Co developer of data engineer
and scientist.
โ Handing full stack
development of web page and
apps
8.
9. Conclusion :
Different section has different jobs that means different
skill sets are required for this purpose, hence this
separate jobs makes the Machine Learning Process
Fast.