The Booming AI Job Market in India: 45,000 Opportunities and Counting, an Analysis
The Artificial Intelligence (AI) job market in India is witnessing a massive boom, with 45,000 job openings available for AI professionals, as reported by TeamLease Digital.
The increased focus on Machine Learning (ML) applications and the growing demand for AI expertise across various industries have contributed to this surge in job opportunities.
Let’s analyze deep into the details of the report, the key job roles in different industries, and the potential benefits of upskilling in AI.
I. A Closer Look at the Report
1.1. Methodology and Key Findings
The TeamLease Digital report is based on an in-depth analysis of AI’s potential in select industries, examining the key job roles and AI uses in these sectors. The study shows rising demand for AI career aspirants and professionals specialized in AI.
1.2. Skills and Proficiency
The report emphasizes that proficiency in scripting languages and the ability to build conventional ML models are the primary skills required for a career in AI. Moreover, the growing focus on scalable ML applications is driving the demand for AI professionals with these skills.
II. AI Job Roles Across Industries
2.1. Healthcare
In the healthcare sector, AI job roles include clinical data analysts, medical imaging specialists, and health informatics analysts, among others.
2.2. Education
The education sector offers job opportunities for edtech product managers, AI learning architects, AI curriculum developers, and chatbot developers.
2.3. BFSI (Banking, Financial Services, and Insurance)
AI professionals can find job openings as fraud analysts, credit risk analysts, and compliance specialists in the BFSI sector.
2.4. Manufacturing
The manufacturing industry requires industrial data scientists, QC analysts, process automation specialists, and robotics engineers.
2.5. Retail
In the retail sector, AI job roles include retail data analysts, IT process modelers, digital imaging leaders, and more.
III. Salary Expectations and Growth Prospects
3.1. Entry-Level Salaries
Data and ML engineers can earn up to Rs 14 lakh per annum, while data architects can get up to Rs 12 lakh, according to the report.
3.2. Experienced Professionals
Candidates with eight years of experience in similar fields can command even higher salaries, ranging from Rs 25 to 45 lakh per annum.
IV. Upskilling for the AI Revolution
4.1. The Importance of AI Skills
Sunil Chemmankotil, CEO of TeamLease Digital, emphasized the transformative impact of AI on the job market, necessitating the need for skilled professionals. Siva Prasad Nanduri, Chief Business Officer at TeamLease Digital, added that upskilling with AI skills is crucial for career growth and employability.
4.2. Employers’ Initiatives
A survey by TeamLease Digital found that 37% of organizations prefer to equip their employees with relevant tools to build an AI-ready workforce. Additionally, 30% of organizations stated AI learning initiatives are mandatory to unlock hidden talents.
About 56% of organizations expressed that necessary measures are being taken to bridge the AI talent gap.
V. Conclusion
The AI job market in India is flourishing, with opportunities spanning across multiple industries. Aspiring AI professionals must focus on acquiring the required skills and knowledge to capitalize on these opportunities.
Employers, too, are increasingly investing in AI upskilling initiatives to create a future-ready workforce. The AI revolution is here to stay, and those who adapt and upskill will reap the long-term benefits in their careers.
