AI/ML engineers are professionals who design, build, and maintain artificial intelligence (AI) and machine learning (ML) systems. Their responsibilities include designing and implementing machine learning models, selecting appropriate algorithms, training models on data sets, and tuning parameters to enhance accuracy and efficiency.
The report offers an overview of the growth of AI/ML engineers, noting a significant increase in demand over the past few years. This surge is driven by the rising importance of AI and machine learning across various industries.
Additionally, the report details the distribution of AI/ML engineers by salary, sectors, years of experience, and company type. It provides an in-depth analysis of job openings for AI/ML engineers and offers insights into the attrition rates within the field.
Finally, the report concludes by highlighting how the role of AI/ML engineers is evolving, particularly with the emergence of generative AI.
Key Findings
- There are a total of approximately 17,000 AI/ML Engineers in India as of June 2024.
- 53.6% of AI/ML engineers are employed in the BFSI sector in 2024, highlighting a significant concentration of AI/ML engineering roles in this sector.
- The number of AI/ML engineers in Bengaluru is around 3,500. Bengaluru, termed the IT capital of India, is home to a significant number of AI and ML professionals that drive innovation in the city’s growing startup and corporate ecosystems.
- Approximately 30.0% of AI/ML engineers in India possess over 3-5 years of experience in the field. Several professionals are utilizing online courses and part-time programs to upskill and transition into AI and ML roles. This led to a significant rise in the number of professionals with 3-5 years of AI/ML experience.
- Around 20.7% of AI/ML engineers work in India’s life-science industry, which encompasses biotechnology, pharmaceuticals, healthcare, and medical devices. This significant proportion highlights that AI/ML technologies are increasingly being utilized to drive innovation across an array of life science applications.
