Machine Learning Experts Salary in India

Machine Learning (ML) is one of the most popular sub-part of Artificial Intelligence (AI) that uses important concepts of mathematics and data science to create human-like intelligent machines. Machine Learning is currently introduced in all technical and non-technical industries to solve various complex computation problems. It helps find patterns in the dataset, and these patterns make data predictions through data modeling. Due to all these advantages, machine learning technology is becoming trending day by day among people. In this article 'Machine Learning Experts Salary in India', we will discuss the basic introduction of Machine Learning experts, their salaries, factors affecting their salaries in India and other countries, the importance of machine learning experts, machine learning experts job roles, and responsibilities and skill required to become a Machine Learning expert, etc.

Let's start with the introduction of Machine Learning Experts.

Machine Learning Expert: Introduction

A Machine Learning expert is a dedicated programmer who helps machines understand and pick up vital information as required. The primary purpose of machine learning experts starts from creating and developing ML applications and enabling machines to take specific actions without explicit directions. Machine learning experts are quite similar to data scientists as both work on a heavy volume of data and have strong bonding over data handling. Hence, we can say that machine learning experts and data scientists work together where data scientist helps to separate important insights from entire datasets and share data with their team. In contrast, ML expert guarantees that data scientists well utilize these models.

Further, all machine learning experts are also responsible for customizing data for analysis purposes, improving web and app-like experience, and identifying and predicting business requirements. Moreover, machine learning experts are also involved in robotics, web development, developing chatbots, data analytics, intelligent application development, etc.

Machine Learning Experts: Roles and Responsibilities

As similar to other technologies experts, machine learning experts also have their own roles and responsibilities. Some of them are as follows:

• To create machine learning programs using predefined ML libraries.
• Identifying, examining, clustering, and mining data for data modeling purposes.
• Modify machine learning programs for scalability purposes.
• Maintain the flow of data between the database and backend.
• Debugging of machine learning codes.
• Optimizing machine learning technologies in a production environment.
• Developing neural network models that support the business/customer use cases.
• Applying machine learning techniques to real-world problems.

Machine Learning Experts: Salaries in India

As per statistics, machine learning experts earn salaries as per their experience level, job title, company, location, and skills. On average, a machine learning expert earns between 7-8 lakhs per annum as the total compensation. According to Glassdoor, in India, the average machine expert's salary is 7.6 lakh per annum, while as per Pay-scale data, it is around 7 lakh per annum.

Machine Learning Experts Salary: Based on Experience Level

Machine Learning Experts Salary: Based on Company

Factors impacting the salary of Machine Learning experts

The following factors majorly impact the salary of machine learning experts:

Experience:

Like all other fields, total years of relevant domain working experience also matter for deciding an employee's salary. It helps you understand the problems and give an appropriate production-ready solution. Hence, experience is one of the most important deciding factors in total compensation.

If a company hires a beginner or fresher level candidate, then according to the sources, the average salary ranges between 5 to 6 lakh per annum (LPA). Similarly, senior-level candidates with experience of 4-5 years offer 6-15 lakh per annum, and expert candidates with experience of more than 6-8 years are eligible to gain a good salary package of more than 15 lakh per annum.

Company:

Other than the experience of candidates, the company is also one of the most important factors, which decides the salary of the machine learning experts in the industry. It directly affects the salary and perks of the candidates.

Professional Skills:

Professional skills are the major impacting factors that decide how much machine learning experts earn in the industry. Every hiring process is based on the appropriate skill sets of the candidates. If you have good skillsets as per industry demand, it will be very helpful to clear any interview and the performance of that candidate in the production environment. Hence, based on the professional skillsets, the employee gets more salary and compensation according to company policies and terms & conditions.

Location:

In earlier days, location was undoubtedly the important impacting factor that used to decide an employee's salary in the industry. But nowadays, in the remotely working culture, location does not play a vital role in the compensation. However, it can affect the salary and compensations in terms of house rent (cost of living according to urban, rural, or metro cities) and travel allowances (cost of traveling for pick and drop of employees). These types of compensations also attract lots of candidates.

Skills Required for Machine Learning Experts

If you are interested in any machine learning industry, then you should have a deep knowledge of anyone modern programming language. Further, specifically, as a machine learning expert, you should be proficient with one of the programming languages such as c, C++, Java, Python, R, Scala, MATLAB, etc.

Other than the hands-on knowledge of the above-mentioned programming languages, you should have the knowledge of various frameworks like Keras, TensorFlow, PyTorch, etc. Further, one should understand a few languages specific libraries and packages such as SciPy, NumPy, pandas, matplotlib in Python.

Moreover, as data science and machine learning are completely based on data, so having experience in RDBMS and NoSQL databases is necessary to extract and process data significantly. Hadoop, Spark, or Hive are a few important data processing ecosystems in the computer science world.

There are some other skills that help to become a machine learning expert:

• Knowledge of cloud-based container environments like Docker, Mesos, Kubernetes.
• Knowledge of Natural Language Processing and Deep neural networks like RNN, LSTM, GRU, CNN, etc.
• Basic Knowledge of working with GPU, Cuda/CuDNN, profiling, and low-level optimizations.

Steps to Become a Machine Learning Expert

Some major steps to become a sound machine learning expert as per industry requirements are given below. It is recommended to follow these steps, which help beginners as well as experts to move forward. These steps are as follows:

1. Learn Programming Language:

Having sound knowledge of any programming language is the most important step to move forward in becoming a machine learning expert. Python is the best-suited programming language that helps in all machine learning tasks. The reason behind using Python is its ease of learning and frameworks. So, one should initially start learning the basic concepts of Python, then go to the advanced level for being a machine learning specialist in the industry.

2. Knowledge of Mathematics for Machine Learning:

Mathematics is undoubtedly the most important foundation step to learning machine learning algorithms. One must have to gain expertise in Statistics, Probability, Derivatives, Linear Algebra, and Partial Derivatives.

3. Learning the basic concept of Machine Learning:

After learning the above steps, you should need to learn the basic concepts of machine learning in order to become a machine learning expert in the industry. There are a few topics that you must learn:

• Linear Regression
• Logistic Regression
• K Nearest Neighbours (KNN)
• Decision Tree
• Random Forest Algorithm
• Support Vector Machine (SVM)
• K Means Clustering
• Cross-Validation and Bias-Variance Trade-off

4. Frameworks to build Machine learning concept

To implement the algorithms and concepts easily in machine learning, an open-source framework is an essential part. You must need to learn these frameworks and their appropriate libraries in a preferred programming language. Some of the popular frameworks are TensorFlow, Keras, Torch, PyTorch, etc.

5. Understanding concepts of Natural Language Processing (NLP) and Deep Learning (DL):

After learning above mentioned steps, this step will help you to become an expert in machine learning with a strong foundation. If you want to gain expertise in this field, then you should not stop here. You should explore yourself to gain expertise in some other topics such as Natural Language Processing, Deep Learning, Reinforcement Learning, etc. Gaining expertise in any of the above areas would make an individual domain expert.

Machine Learning Experts Salary in other countries

Similar to previously mentioned factors affecting salary and compensations, Machine Learning Experts' salary varies in other countries also. The average annual income of a machine learning expert in the USA is 120K USD and in the United Kingdom (UK) is 50K GBP.

Here's the list of salaries of Machine Learning experts in other countries:

Conclusion

Machine Learning is a very powerful technology that offers high salary packages to their experts in India as well as in other countries. It is highly impacted by total years of experience in the corresponding industry, the scale of the company, the skills of candidates, and the location. Generally, you can earn 5-6 lakhs per annum (LPA) at a very beginner level, and after gaining expertise, you can earn exponentially more salary packages in IT hubs in India such as Bangalore, Delhi, Noida, Pune, Hyderabad, and Kolkata, etc.