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Machine Learning Engineer Salary Package
Published
07th Sep, 2023
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Machine learning is one of the most rapidly evolving fields in recent times. Businesses rely on machine learning to understand customer behaviors and provide custom services and products. Moreover, Machine Learning allows businesses to get an idea about the critical patterns of data for better decision-making. Real-time analytics and predictions help transform businesses and increase their productivity significantly. Therefore, companies are searching for more machine learning professionals to boost their sales. Machine learning engineer salary is the highest in India and other parts of the globe.
Machine Learning with Python training is essential to take on the responsibility. Going for this training will help in providing you with a comprehensive view of ML engineering.
Machine Learning Engineer Salary 2023
It is beneficial for you to know the various factors and experience levels that affect machine learning engineer salary:
Machine Learning Engineer Salary: Based on Experience
The machine learning engineer's salary is based on experience. If you have some experience, you can expect a higher salary than if you are just starting. This can be true for any entry-level position.
Beginner
If you are a beginner machine learning engineer, your salary will be approximately $126,393 per annum.
Intermediate
When determining an intermediate machine learning engineer's salary, many things must be considered. While a junior salary may seem like a great place to start, the time and effort required to reach this level of certification cannot be ignored.
The average mid-level machine learning engineer salary ranges between $135,091 to $141,066 per year. This is still significantly less than what senior engineers make—but it is also something you should expect if you want to get serious about advancing your skillset.
Advanced
When you are at the top of your game, you can expect to earn a very healthy salary. When looking at the Advanced Machine Learning Engineer Salary in India, there is a considerable difference between salaries for those with experience and those without.
The average salary for an Advanced Machine Learning Engineer with experience is $145,954 per annum.
Machine Learning Engineer Salary: Based on Location
India
India is one of the most sought-after locations for Machine Learning Engineers. The average Machine Learning Engineer salary in this country is around INR 7.5 lakhs which is very good.
- Bengaluru: INR 7.5 LPA
- Hyderabad: INR 6.4 LPA
- Mumbai: INR 8.6 LPA
- Chennai: INR 5.3 LPA
- New Delhi: INR 7.8 LPA
- Kochi: INR 4.3 LPA
- Indore: INR 8.0 LPA
- Chandigarh: INR 5.0 LPA
US
The United States has always been the top destination for working professionals from across the globe. And it is no different when it comes to machine learning engineers looking for jobs abroad. The US offers some of the best opportunities for machine learning jobs, and that too at competitive salaries compared to other countries worldwide.
According to Indeed, the average salary for a Machine Learning Engineer in the United States is $109866 per year.
UK
The average Machine Learning Engineer salary in this country is around £34,255 per year, which is very good.
Australia
Machine Learning Engineers are paid an average salary of $125,663 per year in Australia, according to PayScale.
Canada
According to PayScale, the average machine learning engineer salary in Canada is $105750 per year. The cost of living in Canada is high compared to other countries due to its high standard of living and low tax rate.
Singapore
Singapore is a great place to work for a machine learning engineer. The salaries are high; there's good work culture and work-life balance. Singapore also has an impressive number of large tech companies, such as Google and Amazon, who have opened offices there to take advantage of the local talent pool and lower cost of living.
According to Payscale, the average salary for an Engineer in Machine Learning is $6116 per year. Check Data Science course fees and enroll for the course to upscale your learning.
Who is a Machine Learning Engineer?
A machine learning engineer refers to a technical professional who leverages the Big Data tools and programming frameworks to convert raw data into useful information. The ML engineers assess, organize, and organize data. A machine learning engineer is an IT professional responsible for researching, designing, and building AI systems for automating predictive models.
AI systems use huge data sets to develop algorithms capable of learning and making decisions; responsible for researching, designing, and building AI systems for automating predictive models. The main goal of machine learning engineers is to develop Machine Learning Algorithms to allow machines to handle huge data volumes, analyze them, identify patterns, and facilitate effective decision-making.
The professionals are capable of resolving several challenges in the business setting. The ML engineers collaborate with the Data Science team of the companies to find appropriate solutions to the problems of the businesses. They communicate with the data analysts, data scientists, and administrators for the smooth functioning of the organization. ML engineers are also responsible for verifying data quality and executing different tests.
How to Boost your Machine Learning Engineer Salary?
By now, you must have realized that machine learning engineering is an excellent career opportunity with high salaries. Even a junior machine learning engineer salary is quite high. However, if you want to progress your salary, below are some of the best ways to help you elevate:
Sharpen your Skills
When it comes to increasing your earning potential as a machine learning engineer, the first thing that comes to your mind is to sharpen your skills. To get to the top, increasing your knowledge and understanding of NLP, big data analytics, computer vision, and image processing are very important.
You must also enhance your skills relating to programming languages. The best thing is that various certification courses and resources are available to sharpen your skills.
Internship
Another great idea is to explore internship opportunities to enhance your earning potential. This is especially ideal for individuals who are still pursuing a course related to machine learning. It will enable you to earn while still learning and equip you with the vital knowledge and skills to get high-paying machine learning jobs.
Understand the Trends
Another way to increase your earning potential as a machine learning engineer is by staying updated on the latest trends. To gain ideas about the trends, be active on social media, sign-up for relevant newsletters, and go through different machine-learning articles and blogs.
Conclusion
Machine learning engineers are high-demand IT professionals. In recent times, more companies have been hiring machine learning engineers. However, there is high competition in the market owing to the lucrative opportunities and high pay packages offered to ML experts. Enrolling in online courses and enhancing your knowledge and skills is vital to stand out and increase your earning potential. Go ahead with KnowledgeHut Machine Learning with Python training and see yourself flourish.
Frequently Asked Questions (FAQs)
1. How much do machine learning engineers make?
The average salary of a machine learning engineer in India is ₹ 724,373 per annum. However, the salary depends on location, job title, skills, and experience.
2. Is becoming a machine learning engineer worth it?
Yes, absolutely! The learning opportunities and pay packages make it worth becoming a machine learning engineer.
3. Is machine learning in high demand?
Machine learning is in high demand in recent times. Its demand is expected to increase further in the coming years as companies realize its importance.
4. What are the AI and ML starting salaries in India?
The average AI and ML starting salaries in India are nearly 8 lakhs.
5. What is the salary for machine learning engineer in USA?
The average salary for machine learning engineer in USA is $ 112,288 per annum.
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