India's AI market is growing rapidly, with Nasscom and BCG forecasting it to reach USD 17 billion by 2027, at a compound annual growth rate (CAGR) of 25-35%. This rapid expansion has created a significant skills gap, as businesses struggle to find talented professionals with the expertise to implement and manage evolving AI technologies.
Stressing on the importance of skill development, Sashi Kumar, Head of Sales, Indeed India, said, “India needs to focus on skilling to be a leader in the global discussion on AI. Companies should support their employees in further learning to equip them with the required skills.”
Below are the 15 most sought-after skills for AI roles in India and the percentage of job ads calling for them, based on the latest findings from Indeed, the world's leading matching and recruiting platform.
15 skills companies are looking for when hiring for AI roles
1. Machine Learning (42%): It is essential for developing algorithms that allow AI systems to learn and improve from experience.
2. Python (40%): It is highly valued for its flexibility and wide range of use in AI and machine learning applications.
3. AI (36%): Foundational skills for understanding and leveraging AI technology.
4. Communication skills (23%) It is essential for collaboration and project management on AI projects.
5. Natural Language Processing (20%): It is essential for developing AI that can understand and interact with human language.
6. TensorFlow (19%): A popular open-source platform for machine learning.
7. Data Science (17%): It is needed to analyse and interpret complex data to inform AI models.
8. AWS (14%): It is important to leverage cloud computing services for AI applications.
9. Deep Learning (14%): It is essential for creating multi-layered neural networks that mimic the human brain.
10. Java (11%): A programming language widely used in AI development.
11. Azur (11%): Microsoft cloud computing services are key for AI solutions.
12. Image Processing (10%): The key to developing AI that can interpret and manipulate visual data.
13. SQL (10%): It is essential for managing and querying databases in AI projects.
14. PyTorch (9%): It is another popular machine learning library used to develop AI applications.
15. Agile (8%): It is critical for managing and delivering AI projects in a flexible and iterative manner.
India has seen growing interest in AI-related roles in recent years, and a recent survey by Indeed found that over 85% of Indian employers expect new job roles to be created by AI within the next 1-5 years, highlighting the urgency of a technology-driven skills transformation.
