How Do Machine Learning Engineers and Data Scientists Differ?

The secrets of contemporary business are machine learning and data science.

These two technologies, which are developing quickly and altering our way of life, are upending almost every industry. Many of us are already so accustomed to them that we are unaware of how profoundly they have altered our lives or what it would be like to live without them.

What is a Machine Learning Engineer?

A machine learning engineer creates, enhances, and maintains algorithms that can be trained to solve issues using data.

Large volumes of data are used by machine learning engineers to create models that can forecast future outcomes or events. They frequently train and apply these models for various business scenarios in teams with other data scientists and software developers.

What is a Data Scientist?

A data scientist is a person who uses statistical methods, machine learning, data mining, and predictive analytics to turn raw data into actionable insights.  

Data scientists work in industries ranging from finance to healthcare to government. They use their skills to identify patterns, trends, and anomalies in the data they analyze and help companies make smarter decisions about how they operate.

Machine Learning vs. Data Science

Data science is a field of study that focuses on how to analyze data best. At the same time, machine learning is a subset of data science that uses various algorithms to predict future events based on past performance.

Data science and machine learning are used in the modern world for many different purposes, but there are some critical differences between the two fields. Data science focuses on finding insights from data sets, while machine learning focuses on making predictions about future events based on past performance.

Roles and Responsibilities of ML Engineer vs. Roles and Responsibilities of a Data Scientist

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ML Engineer Roles and Responsibilities:

• Design, develop, maintain and improve machine learning algorithms for the company's products.
• Make sure the company uses machine learning principles in its business decisions.
• The primary responsibility of an ML Engineer is to design, develop and implement machine learning models for different problems.
• Another responsibility of an ML Engineer is to test and evaluate their machine learning models and algorithms on real-world data sets.

Data Scientist Roles and Responsibilities:

• Data scientists use various software, including Python and R, to explore and visualize data.
• They are also responsible for ensuring that their insights are adequately communicated to non-technical stakeholders.
• They are responsible for collecting and analyzing data and making recommendations for business processes.
• Data scientists should be able to write code and use statistical software like R or Python. They must be able to work with a wide range of data sets, from social media analytics to healthcare information.

Skills Required of Machine Learning Engineers and Data Scientists

Skills Required of ML Engineers:

• The Machine Learning Engineer uses tools like Git/Github for version control, Jenkins for continuous integration, and Docker for containerization.
• They'll often be the ones who design and implement new algorithms and methods, as well as improve existing ones.
• Machine learning engineers need to be able work with a wide range of tools and skills, including Python, C++, R, and SQL.
• They also need to understand statistics, probability theory, and computer science fundamentals like algorithms and data structures.

Skills Required by Data Scientists:

• They must also be familiar with machine learning algorithms and statistical modeling techniques for data analysis.
• They must communicate technical concepts in a way non-technical people can easily understand.
• Data scientists are problem solvers who enjoy working on complex problems and finding solutions using advanced techniques.
• They should also be familiar with machine learning techniques and have some exposure to software development.

Average Salary for Data Scientists and ML Engineers

The average salary for Data Scientist and Machine Learning Engineer in India is ₹ 12.5 Lakhs per year.

Data scientist professionals with less than two years of experience earn an average salary of ₹ 4.4 Lakhs per year.

An average salary of 52.2 lakhs is made by data scientists with more than eight years of experience.

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