The document outlines the roles, salaries, and job prospects in data engineering, data analysis, and machine learning, emphasizing the increasing demand for machine learning professionals. In 2020, there were over 15,000 machine learning jobs in India and more than 25,000 in the U.S., with a projected business value of $5.3 trillion by 2023. It also details the responsibilities of different positions within this domain, including data engineers, data scientists, and machine learning engineers.
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Need for Handling Data Who is a Data Engineer?
Who is a Data
Analyst?
Skills of Data Engineer
and Data Analyst
04
02
Job Scope and Salary06
03
01
Difference between Data
Engineer & Data Analyst
05
2.
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Job Scope in Machine
Learning
Salary of a Machine
Learning Engineer
Different Roles in
Machine Learning
Learning Resources04
02
03
01
Conclusion05
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Job Scope in Machine Learning
Number of Jobs
According to Forbes, in India, there are 15000+
job available in the field of Machine Learning in 2020.
In the United States, the number of jobs are more
than 25,000.
According to Forbes, the business value created by Machine
Learning will reach up to $5.3 trillion by 2023.
• Healthcare
• Education
• E-Commerce Retail
• Manufacturing
• Banking & Finance
• Transportation
According to Gartner, Machine Learning Engineer is one of the #top
job profile in the industry.
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Salary of a Machine Learning Engineer
Average Salary
₹10,32,500 $114,826
Updated June 2020
Average Base Pay
2564 Salaries
$85k $115k $137k
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Different Roles in Machine Learning
Data Engineer Data Scientist
Machine Learning Engineer NLP Engineer
AI/DL Engineer
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Data Engineer
Data Engineer
Design structural schema to store data for analysis.
• Quality
• Accuracy
• Building Datasets
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Data Scientist
Analyze and Visualize the data
Data Scientist
• Find Trends and Patterns
• Extract Useful Information
• Prepare Analysis Reports
• Build Models
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Machine Learning Engineer
Machine Learning Engineer
Analyze and Visualize the data
• Perform Complex Modelling
• Work on Dynamic Data Sets
• Feed Data into Models
• Scale the Built Models
• Enhance Production-Level
• Build Algorithms for Models
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NLP Engineer
Works on Understanding Natural Languages
NLP Engineer
• Analyzes Text
• Records Text
• Optimize Search Results
• Build Responsive Algorithms
• Text Representation
• Transforms Natural Language
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AI/DL Engineer
Builds neural networks that gives more
perfection to the machines.
AI/DL Engineer
• Builds algorithms for neural networks
• Builds operating software for robots
• Improve and enhance existing AI softwares
• Integrates latest technologies in systems
• Collects and analyze data for the AI models