Artificial Intelligence and Machine Learning Engineer Jobs in India 2024

The Artificial Intelligence (AI) and Machine Learning (ML) scenario in India is growing rapidly, and the demand for skilled people in these fields has increased dramatically According to a report by the National Association of Software and Manufacturers (NASSCOM). According to some estimates, the Indian AI industry could reach $7.8 billion by 2025. Strong annual growth rates suggest that by 2023, there will be over 400 AI jobs in India, contributing to a vibrant ecosystem that fosters innovation and technological breakthroughs. 

Though the Indian government has been active in promoting AI and ML by launching initiatives like the National AI Strategy and Centers of AI Excellence, a survey by LinkedIn shows a 74% annual growth in productivity. The Increase in usage of AI and ML is driving this demand.

This is a wealth of opportunities for entrepreneurs and aspiring engineers. Companies are seeking expertise in deep learning, natural language processing (NLP), and computer vision, among other areas.

Source: Safalta

In addition, competitive salaries and assignments make it an attractive career path. According to Glassdoor, the average salary of an AI/ML engineer in India is around Rs 10-15 lakh per annum, and over Rs 30 lakh for senior positions

As we move towards 2024, the job market for AI and ML engineers in India is poised for tremendous growth. This blog will delve into the specifics of this growing sector, exploring essential skills, core businesses, top employers, and future trends.

 

Table of Contents

1. Overview of AI and ML in India

2. Key Skills Required for AI/ML Engineers

3. Top Industries Hiring AI/ML Engineers

4. Major Employers in AI/ML

5. Salary Trends and Career Growth

6. Future Trends in the AI/ML Job Market

 

1. Overview of AI and ML in India

The AI and ML scenario in India is growing exponentially. The integration of AI into sectors as diverse as healthcare, finance, and retail transforms traditional business models. AI and ML are no longer confined to the IT sector but are becoming essential components of businesses of all sizes. India’s emphasis on AI has been reaffirmed through initiatives like the National AI Portal and the setting up of AI research labs in premier institutes like IITs, IISCs, and others

The country’s thriving startup ecosystem is another driver for AI and ML industry growth. Bangalore, Hyderabad, and Pune are hotbeds of tech innovation, giving rise to many startups focused on AI-powered solutions. Furthermore, the government’s focus on digital infrastructure and access to data creates an enabling environment for AI research and applications.

 

2. Key Skills Needed by AI/ML Engineers

To progress as an AI/ML engineer, a solid foundation in basic computer science, statistics, and statistics is essential. Key skills include:

• Knowledge of programming languages: Python, R, and Java is essential.
• Machine learning algorithms: understand supervised, unsupervised, and reinforcement learning.
• Deep learning: Knowledge of programs such as neural networks, CNNs, RNNs, TensorFlow, and PyTorch.
• Data Science: Knowledge in data wrangling, cleaning, and visualization.
• NLP and Computer Vision: Knowledge of NLP, NLP libraries such as spaCy, and computer vision tools such as OpenCV.
• Big Data Technologies: Expertise in Hadoop, Spark, and data pipeline management.
• Practical experience through certification work and internships from recognized organizations can greatly increase your chances of getting a job.

 

3. Top companies hired AI/ML engineers

AI and ML applications have spread in different areas. Key services include:

Health: AI-powered diagnostics, personalized medicine, and predictive analytics.

Finance: fraud detection, algorithmic trading, and risk management.

Retail: customer behavior analysis, recommendation planning, and inventory management.

Manufacturing: predictive maintenance, quality control, and automation.

Telecommunications: network optimization, customer service automation, and predictive analytics.

These businesses are actively seeking AI/ML talent to drive innovation and efficiency, making them prime employers for skilled workers.

 

4. Major Employers in AI/ML

The leading AI/ML innovation companies in India are:

Tech giants: Google, Microsoft, IBM, and Amazon have major AI research facilities in India.

Indian IT companies: TCS, Infosys, Wipro, and HCL are investing heavily in AI capabilities.

Startups: Notable startups like Haptik, Niki.ai, and SigTuple are developing AI-powered solutions.

Consulting firms: Accenture, Deloitte, and PwC are integrating AI into their consulting services.

These employers not only offer competitive salaries, but opportunities for career advancement and global exposure.

 

5. Continuous pay and career advancement

Salaries for AI/ML professionals in India are very competitive. Entry-level positions offer a salary of Rs 6-10 lakh per annum. Mid-level professionals can expect to earn Rs 15-25 lakh, while senior roles typically exceed Rs 30 lakh per annum. With experience, employees can transition into specialized roles such as AI architects, data scientists, and research scientists, where salaries reflect their skills and contributions.

 

6. Future Trends in the AI/ML Job Market

The future of AI/ML business in India looks promising, driven by advances in technology and growing adoption across industries. Upcoming features include:

Edge computing: AI for faster data processing and real-time analysis.

AI Ethics and Governance: The increasing emphasis is being placed on ethical AI and compliance.

Automatic Machine Learning (AutoML): simplifies the development process for non-experts.

Cross-sectoral applications: integrating AI with sectors such as IoT, cybersecurity, and robotics.

These factors indicate a dynamic and growing business market with many opportunities for innovation and growth.

The job market for AI-ML engineers in India is poised for significant growth by 2024. The adoption of AI in industry is set to increase the demand for skilled workers. They should as aspirants focus on acquiring relevant skills, gaining useful experience, and staying on date with industry trends. Government initiatives, technological developments, and a growing startup ecosystem will continue to drive the AI-ML environment in India, making it an attractive destination for aspiring engineers.