Software Engineer Salary in India during 2024

Salary details

The average Software Engineer salary lies between USD 30,000 and USD 31,200 in India. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Jan. 12, 2025

Top 20 Job Tags for Software Engineer roles

The three most common job tag items assiciated with Software Engineer job listings are Engineering, Python and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Engineering | 8922 jobs Python | 8801 jobs Machine Learning | 7466 jobs Computer Science | 6716 jobs Architecture | 4754 jobs Java | 4370 jobs AWS | 3909 jobs Testing | 3885 jobs Security | 3717 jobs Pipelines | 3068 jobs APIs | 2929 jobs Kubernetes | 2907 jobs SQL | 2838 jobs Research | 2797 jobs Agile | 2703 jobs Azure | 2456 jobs JavaScript | 2207 jobs Docker | 2134 jobs Privacy | 2129 jobs GCP | 2125 jobs

Top 20 Job Perks/Benefits for Software Engineer roles

The three most common job benefits and perks assiciated with Software Engineer job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 8577 jobs Health care | 4752 jobs Equity / stock options | 4641 jobs Startup environment | 2910 jobs Competitive pay | 2724 jobs Flex hours | 2660 jobs Salary bonus | 2592 jobs Medical leave | 2489 jobs Flex vacation | 2264 jobs Insurance | 2151 jobs Parental leave | 1969 jobs Team events | 1836 jobs 401(k) matching | 1436 jobs Wellness | 1222 jobs Relocation support | 737 jobs Fertility benefits | 541 jobs Transparency | 514 jobs Unlimited paid time off | 496 jobs Home office stipend | 478 jobs Flexible spending account | 472 jobs

Salary Composition

In India, the salary composition for a Software Engineer specializing in AI/ML/Data Science typically includes a fixed base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The fixed base salary is the largest component and is influenced by factors such as the region, industry, and company size. For instance, tech hubs like Bangalore and Hyderabad may offer higher base salaries compared to other regions. Performance bonuses are often tied to individual or company performance and can vary significantly. Larger companies or those in high-growth industries may offer additional incentives like stock options, which can be a significant part of the total compensation package.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
• Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
• Networking: Engage with professional networks and communities to learn about new opportunities and trends.
• Certifications: Obtain relevant certifications to validate your skills and increase your marketability.
• Job Hopping: Sometimes, changing companies can lead to a significant salary increase, especially if you move to a larger or more prestigious company.

Educational Requirements

Most positions in AI/ML/Data Science require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles that involve research or advanced algorithm development. A strong foundation in mathematics, statistics, and programming is essential.

Helpful Certifications

Several certifications can enhance your credentials in AI/ML/Data Science:

• Google Professional Machine Learning Engineer
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• IBM Data Science Professional Certificate
• TensorFlow Developer Certificate

These certifications demonstrate your expertise in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, entry-level positions may require 1-2 years of experience in software development or data analysis. For more advanced roles, 3-5 years of experience in AI/ML projects is common. Experience with specific programming languages like Python or R, and familiarity with machine learning frameworks such as TensorFlow or PyTorch, is often required.

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