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Can a machine learning engineer work as a data scientist?

Can a machine learning engineer work as a data scientist?

The major overlaps between the roles have resulted in some organizations, particularly smaller organizations and startups, merging the roles into one. Thus, some organizations have Data Scientists doing the work of Machine Learning engineers and some have Machine Learning engineers doing the work of Data Scientists.

How much does a machine learning engineer earn in the UK?

Meanwhile, the average salary for a Machine Learning Engineer for the same period is £68,750. So in the UK, there is a clear £10,000 margin between the two ML roles. According to LinkedIn, the average base salary for ML Researchers in the US is $143,000 (110 ML Researchers).

What is the average salary of a data scientist in India?

The average data scientists salary is ₹698,412. An entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years experience get around ₹610,811 per annum. A mid-level data scientist with 5 to 9 years experience earns ₹1,004,082 per annum in India.

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What is the difference between a machine learning engineer and researcher?

A Machine Learning Engineer’s role involves the implementation of machine learning algorithms and models within implemented software/hardware solutions. A Machine Learning Researcher’s role is concerned with the advancement of a specific or niche subject domain within machine learning. 2. Academic Background

Does a data scientist’s career keep growing?

Thus, if you have the required skillset and are ready to keep yourself updated, your career as a Data Scientist is expected to keep growing onwards and upwards. This line stands true especially when we consider that a data scientist salary in India is directly or indirectly dependent on how upskilled and updated they are.