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Machine Learning Salary in India in 2024 [Fresher to Experienced]

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16th Apr, 2024
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    Machine Learning Salary in India in 2024 [Fresher to Experienced]

    Machine learning and artificial intelligence play a big role in the industry because they make things more efficient, automate tasks, analyze data, and help businesses make smart decisions. Machine learning, a part of artificial intelligence, uses math and data analysis to make computers smart like humans. It looks at patterns in data using computer algorithms, helping predict future things. The demand for machine learning jobs in India is high, and the salary increases with experience.

    Considering the high machine learning salary in India, the field has gained a lot of traction, with over 3.7 million people learning about it. Some topics in machine learning include stochastic, algorithms, NLP, metrics, mathematics, and deep learning. Many students prefer to learn Python and Artificial Intelligence as part of their machine-learning journey. Having said that, If you are interested in building a career in machine learning, let me help you understand what the machine learning salary in India looks like.

    What is Machine Learning?

    Machine learning is a special part of artificial intelligence. It learns from patterns in data and creates algorithms to predict new information without specific instructions. It’s used in many things like recognizing speech and images, understanding language, catching fraud, suggesting things, doing tasks automatically, and making financial plans better. Machine learning is also behind drones, self-driving cars, and robots. It’s connected to data science and data mining, where it takes in information and uses a set of rules to give answers. Considering the opportunities, Machine Learning training can be very valuable if you are seeking a career in the field.

    Machine Learning Salary in India 2024

    Machine learning skills are in high demand across various industries like finance, software, IT services, and healthcare. To stay on top of machine learning salary in India trends in 2024, developing sought-after skills like computer vision, Natural Language Processing, and Deep Learning is essential. These skills can guide professionals towards better opportunities in the machine learning job market.

    In India, the average salary for a machine learning engineer is ₹12,00,000 (Source: Glassdoor.co.in). The average additional cash compensation is ₹1,00,000. The range of additional cash compensation ranges from ₹50,000 to ₹2,06,250.

    Average Machine Learning Salary in India

    Duration

    Average Salary (Rs.)

    Machine learning salary in India per hour

    ₹136

    Machine learning salary in India per month

    ₹1,00,000

    Machine learning salary in India per year

    ₹12,00,000

    Machine Learning Salary in India: Based on Experience

    An entry-level machine learning engineer with less than 1 year of experience typically earns an average compensation of ₹556,951, including tips, bonuses, and overtime pay. An early career machine learning engineer with 1-4 years of experience earns an average total compensation of ₹762,122 based on 408 salaries. With 5-9 years of experience, a mid-career machine learning engineer's salary in India is about ₹1,753,103. With 10-19 years of experience, an experienced machine learning engineer typically earns an average compensation of ₹2,034,730.

    Experience-based Machine Learning Salary in India

    Experience Level

    Salary (in Rupees) 

    Beginner

    ₹556,951

    Intermediate

    ₹762,122

    Advanced

    ₹2,034,730

    (Source: PayScale)

    Machine Learning Salary in India: Based on Job Roles

    Machine learning is a sought-after profession recruited by companies seeking professionals who can use and create predictive models. The following table shows the average ML salary in India for different job roles.

    Machine Learning Job Roles Salary in India

    Job Role

    Salary (in Rupees) Per Annum

    Data Scientist

    12.50 lakhs

    Software Engineer

    10 lakhs

    Web Developer

    4.44 lakhs

    Data Analyst

    6.55 lakhs

    Deep Learning

    9.5 lakhs

    Machine Learning

    12 lakhs

    Computer Vision

    7.44 lakhs

    Natural Language Processing (NLP)

    8 lakhs

    Python

    4.95 lakhs

    Source: Glassdoor.co.in

    With an increasing number of industries depending more on machine learning, expertise in machine learning expert is an asset to one’s resume. This has raised the machine learning professionals' salary in India significantly.

    Factors Affecting Machine Learning Jobs Salary in India

    Machine learning salary in India depends on multiple factors such as experience, education, industry sector, company location and size, and relevant skills.

    1. Experience

    The number of years of experience in the concerned domain is integral to understanding the problems and offering production-efficient solutions. It is also a key factor in determining your overall compensation package. Machine learning salaries in India or freshers will be higher if you have varied skills in the domain. As you gain more years of experience, your compensation will increase. Experienced ML engineer salaries are significantly higher than machine learning starting salary in India.

    Level

    Average Salary 

    Fresher

    ₹7 Lakhs

    Mid-Level

    ₹12.2 Lakhs

    Experienced

    ₹18.3 Lakhs

    Source: Ambitionbox

    2. Location

    Location-Based Machine Learning Salary
    datamites

    In the present remote working scenario, the location effect is nominal. Still, modest differences in compensation may exist, depending on factors such as living standards in different regions and the proximity of industry centers.

    Professionals employed in big companies or prime locations may receive higher pay than those joining smaller organizations or working in low-cost locations. Bangalore - the Silicon Valley of India is at the top of the highest salary grade compared to other cities. Chennai follows second in handing out salaries to machine learning engineers below 5% of the national average. The average salary of ML in India is usually higher in metropolitan cities due to the constant demand for proficient professionals.

    City

    Average Salary

    Bangalore

    ₹9.2 Lakhs

    Pune

    ₹7.1 Lakhs

    Hyderabad

    ₹9.1 Lakhs

    Chennai

    ₹8.1 Lakhs

    Mumbai

    ₹8.1 Lakhs

    Delhi

    ₹9.6 Lakhs

    Gurgaon

    ₹9.1 Lakhs

    Noida

    ₹9 Lakhs

    Ahmedabad

    ₹6 Lakhs

    Kolkata

    ₹7.5 Lakhs

    Source: Ambitionbox

    3. Skill Sets

    The salary for machine learning in India is incremented by skill set.

    These are the must-have skills to capitalize on India’s machine-learning job market:

    1. Deep Learning
    2. Computer Vision
    3. Machine Learning
    4. Natural Language Processing (NLP)
    5. Python

    4. Demand and Supply

    A depleted supply of quality machine learning professionals produces a higher demand with salary hikes to attract them. An Intel survey shows that Indian companies will adopt AI-powered solutions by 2019 and offer more employment opportunities for these technology professionals. Big IT players like IBM and Microsoft have mentioned that India, with a huge workforce of young graduates, is best positioned to enhance their human resources with the best machine learning and AI courses. These big players will also be offering the highest salary of machine learning engineers in India.

    5. Industry and Company

    Machine learning salaries in India are also based on a brand name, as big league companies offer high salaries. For instance, Intel Corporation pays an average salary of ₹13.6 Lakhs (Source: Ambitionbox) to its machine learning engineers.

    Industries such as healthcare, finance, and technology tend to pay higher salaries for machine learning across India than other sectors.

    Industry 

    Salary Data 

    Retail 

    ₹16.5 Lakhs 

    Logistics 

    ₹16.2 Lakhs 

    Education 

    ₹12.1 Lakhs 

    Automotive 

    ₹11.2 Lakhs 

    Technology 

    ₹10.1 Lakhs 

    Finance 

    ₹9.1 Lakhs 

    Healthcare 

    ₹8.8 Lakhs

    Source: Ambitionbox

    6. Credentials/Certifications

    Having core competency in programming languages such as R or Python, a sound understanding of algorithms and frameworks like TensorFlow, and a specialization in data processing can provide you a winning edge while negotiating your remuneration. Check out the Programming certifications here for enhancing your skills and boosting your career prospects in the tech industry!

    How to Improve Machine Learning Jobs Salary in India?

    To maximize salary, machine learning professionals should concentrate on acquiring trending skills like Deep Learning and Natural Language Processing, besides getting relevant degrees and certifications in line with industry requirements.

    1. Skills

    A machine learning expert should be adept in one of the programming languages like C++, C, Python, Java, Scala, R, or MATLAB. Further, knowledge of frameworks like TensorFlow, Keras, and PyTorch is also important. Besides, in Python, one should know some language-specific packages and libraries like NumPy, SciPy, pandas, and Matplotlib.

    NoSQL and RDBMS database experience is essential to substantially processing and extracting data. A few leading data processing ecosystems are Spark, Hadoop, and Hive.

    2. Certifications

    Acquiring certifications or finishing specialized courses in machine learning can boost your credibility as a machine learning engineer. The knowledge and expertise to manage difficult projects can be gained to obtain higher salaries as a machine learning engineer.

    3. Degrees

    Advanced degree holders in statistics, computer science, data science, or mathematics receive higher salaries than bachelor degree holders. Data scientists are in great demand currently, and they command huge salaries. Our Data Science online course is excellent for those looking for higher salaries in machine learning.

    4. Experience

    Obtaining practical experience is among the most successful ways to improve your salary as a machine learning engineer. Find avenues for practical experience, whether through your internships, jobs, or individual projects. This experience not only enhances your resume but also cultivates problem-solving skills that are vital in machine learning.

    Conclusion

    The job market for machine learning professionals in India is promising. As per Analytics Insight, India is among the ideal countries for such engineers due to investment in this sector. Indeed’s job portal ranked machine learning in 2021 as India’s fourth most lucrative job. Glassdoor has mentioned that the average salary of a machine learning engineer is 8 lakhs per annum at the very start of your career. A specialized machine learning engineer draws a pay cheque of 15 to 23 lakhs annually. However, the machine learning salary in India is based on experience profiles, different cities, and industry stature.  You can boost your salary in this field by acquiring relevant certifications and training like the KnowledgeHut Machine Learning training 

    Though compared to different tech-advanced countries like the US and UK, ML and AL professionals in India receive lower salaries, there is an upscale salary figure, as given by Analytics India Magazine. Your future is shining in this sector, subject to your skill acquisition in data science, programming, machine learning, and handling challenging projects

    Frequently Asked Questions (FAQs)

    1Do machine learning engineers with specific skill sets or specializations command higher salaries?

    Specialized degrees and higher education can significantly impact the salary of a machine learning engineer. Effective skills in programming languages like R or Python, knowledge of prevalent algorithms and frameworks such as PyTorch or TensorFlow, and skills in visualization and data preprocessing can offer you an edge while negotiating your salary.

    2What additional perks or benefits are commonly offered to machine learning professionals in India?

    Some other benefits offered to machine learning professionals in India include bonuses, health insurance, stock options, education reimbursement, or vacation days. Alternative arrangements, such as flexible work hours for better work-life balance, remote work, or project-related contracts, can also be proposed. Additional perks include liberal paid leave policies and working from home. 

    3What is the entry-level salary range for machine learning roles in India?

    There is a huge demand for ML engineers, and they have a higher salary package than various AI engineers. India’s machine learning fresher salary is approximately Rs.3.0 Lakhs per year. The machine learning salary in India for those with less than one year of experience is almost 5,00,000 annually, qualifying them as one of the leading entry-level wages in India.

    4What are some common negotiation tactics for machine learning professionals to secure higher salaries in India?

    Machine learning jobs follow these strategies to negotiate successfully for higher salaries.

    • Research the market properly and assess the earnings of others in similar roles. Location and level of experience. This will help you to know what is appropriate and rational. 
    • Display your potential in solving business issues using ML skills, improved performance, or generated profit. You can relate particular instances or testimonials to highlight your achievements. Also, discuss your certifications or publications to present your credibility and skills. Showing your actual worth and the value you bring to the company will validate your salary request and distinguish you from other job seekers. 
    • Discuss the various perks and benefits offered by the company 
    • Show your flexibility in approach and creativity that aligns with your preferences and the employer’s budget.   
    Profile

    Ashish Gulati

    Data Science Expert

    Ashish is a techology consultant with 13+ years of experience and specializes in Data Science, the Python ecosystem and Django, DevOps and automation. He specializes in the design and delivery of key, impactful programs.

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