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Who is a Machine Learning engineer?Know about the salary

Last updated on 28th Jan 2023, Artciles, Blog

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Pradip Mehrotra (Senior Splunk SIEM Engineer )

Pradip Mehrotra is a Sr. Splunk SIEM Engineer with 7+ years of experience, and he is a specialist in an analytics-driven SIEM tool that collects, analyzes, and correlates high volumes of network and other machine data in real-time.

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    • In this article you will get
    • Importance of Machine Learning
    • What does a Machine learning engineer do?
    • Why is there a growing need for machine learning engineers?
    • Roles and obligations of a Machine learning engineer
    • Machine learning job roles
    • Conclusion

Importance of Machine Learning

Algorithms for machine learning have been around for some time. Yet, it is only very recently that complicated mathematical computations have been automated for the benefit of large data. This is why Machine Learning has improved in efficacy, speed, and efficiency over time. A higher level of efficiency and effectiveness in business operations implies more informed and sensible choices.

By highlighting hidden patterns in the data, Machine Learning allows organisations to improve decision-making with little human input. In addition to this, it is perfect for making accurate forecasts in the here and now, as well as for analysing and assessing organisational initiatives in real time. So, many new doors will be opened for Machine Learning Engineers as a result of this development.

Machine Learning

What does a Machine learning engineer do?

Programming frameworks and Big Data tools are what Machine Learning Engineers use to turn raw data into scalable Data Science models. They provide the raw material for the models built by data scientists and improve the readiness of the models developed in the lab for use in the real world. These models are able to handle massive amounts of streaming data in real time. Data scientists and machine learning engineers need to work together closely on these jobs.

Methods based on machine learning software to manage computers and robotics may be written by engineers as well. Because of these newly created techniques, robots can now analyse code for hidden patterns. They are taught to follow directions, at which point they are able to make sound judgements and complete complex tasks independently of human oversight.

Why is there a growing need for machine learning engineers?

Machine learning engineers are in more demand than Data Scientists at the moment.Forbes estimates that by 2024, the worldwide market for machine learning will be worth $20.83 billion.As global rivalry heats up, businesses are on the lookout for skilled machine learning engineers to give them an edge. Due to the critical significance of machine learning jobs, experts in this field are certain to earn a high salary.

Roles and obligations of a Machine learning engineer

The following are some of the jobs and duties of a machine learning engineer:

  • Processing statistical data.
  • Optimal interpretation of test data.
  • Instructing and re-instructing systems.
  • Building infrastructures.
  • Doing a variety of machine learning trials and tests.
  • The art of ML-program design.
  • Constructing deep learning systems for a wide range of business needs.
  • Building on appropriate AI/ML algorithms.
Applications of Machine learning

Machine learning job roles

Here are the various job roles available for certified experts in the field:

  • AI specialist
  • Engineer of data
  • Software developer
  • Statistics expert
  • Artificial intelligence
  • Maker of AI with a human touch
  • Scientist in natural language processing
  • Analytics director
  • Expert in chief data science
  • Expert in computer vision
  • Programmer who develops algorithms
  • Physicist and computer scientist

Machine learning engineer salary:

  • Machine learning engineers in India may expect to make a median annual income of about 686,220. City-specific data is provided below.
  • Machine learning engineers in Bangalore can expect to make a mean annual income of 855,647, as reported by pay comparison website PayScale.
  • Glassdoor reports that the typical annual income for a machine learning engineer in Hyderabad is $89,459.
  • According to PayScale, machine learning engineers in Chennai make an average of 671,599 per year.
  • According to Glassdoor, the average annual income for a machine learning engineer in Mumbai is 855,000.
  • Based on data collected by payscale, machine learning engineers in Pune may expect an average yearly pay of 601,373.
  • Indeed reports that a machine learning engineer in Delhi earns a median annual income of 465,697.

The Compensation of a Machine Learning Engineer in India, according to PayScale.

Salary for entry-level positions in machine learning in India:The average annual salary for a Machine Learning Engineer in India is around 506,655.

Pay for an entry-level Machine Learning Engineer:An average salary for a Machine Learning Engineer in India is 675,165 per year for an entry-level engineer with 1-4 years of experience.

Salary for a chief engineer in Machine Learning:After five to nine years in the field, a Machine Learning Engineer in India can expect to make a median salary of 1,322,574 per year.

Salary for a senior engineer in Machine Learning:With 10-19 years of experience, the average income for a Machine Learning Engineer in the nation is $1,999,859.

Conclusion

The figures shown above are not fixed in stone. The average Machine Learning pay in India is directly influenced by the business, experience, location, and expertise. Although the wage may seem poor in comparison to other nations, according to studies, it is one of the highest-paying positions in India. Hence, if you’re considering starting a career as a Machine Learning Engineer, now is the time to do it.

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