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How to Get a Job in Artificial Intelligence in India: A Complete Guide

Artificial intelligence is transforming several sectors in India, including banking, healthcare, retail, and logistics. Intelligent systems are being used by businesses to increase output and improve decision-making. The need for qualified employees in a variety of AI roles has increased because of this change. 

In practice, building a career in AI requires a structured approach. Candidates must develop relevant abilities, have practical knowledge, and skills. This explains how people could get involved in the sector and work in artificial intelligence. 

Why Careers in Artificial Intelligence Are Growing in India

India’s AI industry is expanding rapidly due to a rise in digital usage and innovation. Businesses are investing heavily in AI-driven solutions across all industries. 

India’s AI Market 

India’s AI employment market is expanding gradually because of business and governmental initiatives. Artificial intelligence is predicted to play a major role in economic growth. 

  • According to the Stanford AI Index Report (2024), India is currently one of the top three nations in the world for the concentration of AI talent. 
  • In 2024, 275,000 AI jobs were advertised on Indian job boards (estimated based on NASSCOM and industry aggregators). 
  • In India, there is a 50–60% demand-supply imbalance for AI specialists, which means there are considerably more open positions than there are competent applicants to fill them. 

These patterns demonstrate the stability of the AI sector in India. 

Why Now is the Right Time to Start a Career in AI

Current market conditions are favourable for new entrants. The demand is high, and the talent pool is still developing. More entry-level positions are becoming available for new hires; businesses are actively seeking qualified workers, learning materials are readily accessible online, and technology is being utilised in a variety of sectors. Thus, it is considered a right time to start an AI career. 

Top AI Job Roles in India: Titles, Salaries, and Career Paths =

AI provides a variety of jobs with alternatives based on educational background, interests, and skill sets. Different phases of AI development are influenced by each role. 

Role-by-Role Breakdown 

These roles define the AI career path in India and reflect the growing demand for skilled professionals.   

AI Role Expected Average Salary (INR/year) Experience Level Core Skills 
Data Scientist â‚ą10–22 LPA 1–5 years Python, statistics, SQL, ML algorithms 
Machine Learning Engineer â‚ą12–30 LPA 2–6 years Python, TensorFlow, PyTorch, cloud deployment 
NLP Engineer â‚ą10–25 LPA 2–5 years NLP, transformers, text mining, deep learning 
Computer Vision Engineer â‚ą12–28 LPA 2–6 years CNNs, OpenCV, image processing, neural networks 
AI Research Scientist â‚ą15–40 LPA 3–8 years Advanced mathematics, research publications, deep learning 
AI Product Manager â‚ą18–35 LPA 4–8 years Product strategy, ML literacy, stakeholder management 
Prompt Engineer / GenAI Specialist â‚ą8–20 LPA 0–3 years LLM fine-tuning, prompt design, API integration 
Data Analyst (AI-adjacent) â‚ą5–12 LPA 0–3 years Excel, SQL, Python basics, data visualisation 

Skills You Need to Get AI Job (Technical + Soft Skills) 

Developing the appropriate skill set is crucial to landing AI jobs. Both technical expertise and practical skills are expected by employers. 

  • Programming Skills: Python for AI is frequently used across applications.  
  • Statistics and Mathematics: Fundamental ideas help in the creation of models  
  • Machine Learning: Knowing algorithms and how they are trained is essential to understand machine learning.  
  • Data Administration Skills: Processing, cleansing, and analysis of large-scale datasets 
  • Structures and Tools: TensorFlow, PyTorch, and Scikit-learn 

Soft skills are as vital as technical skills. 

  • Problem-Solving Abilities: Effectively handling obstacles in the actual world  
  • Communication Abilities: Explaining technical ideas clearly  
  • Adaptability: Keeping up with technology’s quick development 
  • Team Collaboration: Working with diverse teams 

Candidates can also explore best AI certifications options to strengthen their profile. These skills form the foundation of artificial intelligence skills required for jobs. 

Steps to Start a Career in Artificial Intelligence 

A step-by-step approach improves learning outcomes and job readiness. 

Step 1: Build your Foundation 
Start with basics in computer science, mathematics, or statistics. Beginners can use entry-level courses. 

Step 2: Choose a Specialisation 
Focus on areas like machine learning, NLP, or computer vision. This ensures clarity. 

Step 3: Get Certified and Build Projects 
Certifications help, but practical projects are more important. 

Step 4: Build a Strong Portfolio 
Include: 

  • GitHub repositories 
  • Project documentation 
  • Case studies with results 

Step 5: Network Actively 

  • Attend webinars and events 
  • Connect with professionals 
  • Join AI communities 

Step 6: Apply Strategically 
Match job requirements with your skills before applying. 

AI Jobs for Freshers

Many beginners believe that AI positions necessitate years of expertise, although this isn’t necessarily the case. With proper preparation, newcomers can join the field. 

Can You Get an AI Job Without Experience? 

Yes, candidates can secure entry level artificial intelligence jobs through strong project work and internships. 

  • Build practical projects to showcase skills 
  • Contribute to open-source AI work 
  • Complete relevant certifications 

These steps help candidates access AI jobs without a degree in some cases, depending on skill level. 

Where to Find Fresher AI Jobs 

Freshers can explore multiple platforms to find opportunities. 

  • Job portals such as foundit 
  • Company career pages 
  • Internship platforms 
  • Professional networking referrals 

Consistent effort is key to securing AI engineering jobs for freshers’ roles. 

Companies Hiring for AI Roles in India in 2026 

In India, both global corporations and emerging startups are employing AI. These companies are heavily investing in AI capabilities. 

Global Tech Giants 

These companies represent major MNC hiring AI opportunities. 

Company AI Hub City  Roles Frequently Hired Approx. AI Team Size 
Google Bengaluru, Hyderabad ML Engineer, Research Scientist, NLP 2,000+  
Microsoft Hyderabad, Bengaluru AI/ML Engineer, Data Scientist, GenAI 3,000+ 
Amazon (AWS AI) Bengaluru, Hyderabad Applied Scientist, ML Engineer, Alexa AI 2,500+ 
Meta Bengaluru AI Research, Computer Vision, Infra ML 500+  
Accenture Bengaluru, Mumbai, Pune AI Consultant, Data Scientist, AI Strategy 4,000+  
TCS Mumbai, Chennai, Pune AI Practice Lead, ML Engineer, Data Analyst Largest domestic AI practice 
Infosys Bengaluru, Pune AI Specialist, Applied AI, Data Engineer Growing rapidly post-Topaz launch 

AI Job Salaries in 2026

AI jobs tend to pay well since they are in high demand and need specialist abilities. These are also dependent on factors such as location, roles, and experience. 

Salary by Role and Experience Level 

Below table reflects the current AI job salary  trends across experience levels. 

Role Expected salary of Fresher (0–2 yrs) Expected salary of Mid-Level (3–5 yrs) Expected salary of Senior (6–10 yrs) Expected salary of Principal/Lead (10+ yrs) 
Data Scientist â‚ą6–10 LPA â‚ą12–20 LPA â‚ą22–35 LPA â‚ą40–60 LPA 
ML Engineer â‚ą7–12 LPA â‚ą15–25 LPA â‚ą28–40 LPA â‚ą45–70 LPA 
NLP Engineer â‚ą6–10 LPA â‚ą12–22 LPA â‚ą25–38 LPA â‚ą40–55 LPA 
Computer Vision Engineer â‚ą7–11 LPA â‚ą14–24 LPA â‚ą26–40 LPA â‚ą42–60 LPA 
AI Research Scientist â‚ą8–14 LPA â‚ą18–30 LPA â‚ą32–50 LPA â‚ą55–80 LPA+ 

Which City Pays Better? 

Major cities offer better salary packages due to higher demand and cost of living. 

  • Bengaluru generally has the most AI jobs and the highest incomes.  
  • Hyderabad is growing quickly, particularly for satellite teams from Google, Amazon, and Microsoft.  
  • Pune is becoming a center for automotive AI and mid-size AI firms.  
  •  Chennai has a strong presence in companies like TCS and Zoho, along with growing adoption of AI in the manufacturing sector. 

These cities usually pay more for jobs like data scientists and machine learning engineers. 

Conclusion

In India today, one of the promising career options is artificial intelligence. Professionals with the necessary abilities may benefit from significant opportunities and high compensation as adoption grows across industries. A job in artificial intelligence requires consistent labour, practical experience, and a clear learning path. A successful career in artificial intelligence is possible for those who follow a structured path to understand how to find jobs in the field. 

Frequently Asked Questions 

Is artificial intelligence a good career ?  

Artificial intelligence offers significant career progression, attractive salary, and opportunities in a variety of industries. 

What qualifications are required for artificial intelligence jobs ? 

Many jobs require an understanding of machine learning, mathematics, and programming. 

What is the average salary in artificial intelligence roles in India? 

For new hires, salaries usually vary from ₹4 LPA to ₹40 LPA for professionals. 

Can someone get artificial intelligence jobs without a degree ? 

Candidates without a formal degree can yet land jobs if they have strong skills and project experience. 

How long does it take to get a job in artificial intelligence? 

It often takes six to twelve months, depending on practice and regularity. 

Where can candidates find artificial intelligence jobs? 

Opportunities can be located via job marketplaces, company career pages, and networking. 

Which platform is best to apply for artificial intelligence jobs?

Job platforms such as foundit are commonly used to search and apply for roles. 

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Team foundit
The foundit team transforms hiring by connecting job seekers with the right opportunities. They specialise in talent acquisition, business growth, and customer success. They connect job seekers with the right job role and help organisations build high-performing teams. With innovative technology, they make recruitment faster, and more effective for both employers and job seekers.
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