The field of artificial intelligence (AI) is constantly evolving, creating new opportunities for professionals with expertise in machine learning (ML). Recent data from job sites and staffing agencies reveals that ML is the most sought-after skill in the AI job market, surpassing other skills such as data science and Python.
India, in particular, has witnessed a significant surge in AI job opportunities, with approximately 3,000 active positions available. Over the past year, the number of AI professionals in the country has grown by a staggering 125 percent. Python, an essential language for AI applications, has seen its skilled workforce double to over 224,000, while ML professionals have increased by 90 percent to 220,000.
Among the various AI job roles, ML engineers dominate the market, accounting for 23 percent of the total job postings. They are followed by AI scientists at 15 percent and data engineers at 11 percent. However, it is crucial to interpret these figures with caution, as professionals with these skills may not necessarily be working exclusively in AI-related roles. For example, only 10 percent of the 2.4 million Python professionals are engaged in AI work.
Numerous companies from a wide range of sectors are actively seeking AI talent. Organizations such as SAP Labs India, Samsung’s HARMAN Digital Transformation Solutions, Tredence, and Compunnel are among those recruiting AI experts. Tredence, in particular, places great importance on professionals with expertise in AI/ML and cloud data platforms.
Despite the growing number of skilled professionals in the AI field, there continues to be a shortage of experienced mid- to senior-level talent. While newcomers are entering the industry, the demand primarily lies in individuals with 10-30 years of relevant experience.
As AI continues to permeate various industries, such as banking, healthcare, and retail, the demand for AI professionals is expected to increase even further. The application of AI technologies in these sectors will create numerous job opportunities and drive the need for ML experts who can effectively harness the potential of AI in real-world settings.
Frequently Asked Questions (FAQ) based on the article:
1. What is the most sought-after skill in the AI job market?
Machine learning (ML) is the most sought-after skill in the AI job market, surpassing other skills such as data science and Python.
2. In which country has there been a significant surge in AI job opportunities?
India has witnessed a significant surge in AI job opportunities, with approximately 3,000 active positions available.
3. How much has the number of AI professionals in India grown over the past year?
The number of AI professionals in India has grown by a staggering 125 percent over the past year.
4. Which job role dominates the AI job market?
ML engineers dominate the AI job market, accounting for 23 percent of the total job postings.
5. What percentage of Python professionals are engaged in AI work?
Only 10 percent of the 2.4 million Python professionals are engaged in AI work.
6. Which companies are actively seeking AI talent?
Companies such as SAP Labs India, Samsung’s HARMAN Digital Transformation Solutions, Tredence, and Compunnel are actively seeking AI talent.
7. What is the demand for experienced AI talent?
Despite the growing number of skilled professionals in the AI field, there continues to be a shortage of experienced mid- to senior-level talent. The demand primarily lies in individuals with 10-30 years of relevant experience.
8. Which industries are expected to see increased demand for AI professionals?
Industries such as banking, healthcare, and retail are expected to see increased demand for AI professionals as AI technologies continue to permeate these sectors.
Definitions of key terms:
– Artificial Intelligence (AI): The field of computer science that focuses on creating intelligent machines that can perform tasks that typically require human intelligence.
– Machine Learning (ML): A subset of AI that involves the development of algorithms and models that enable machines to learn from and make predictions or decisions based on data.
– Data Science: The multidisciplinary field that combines techniques and methods from statistics, mathematics, computer science, and domain knowledge to extract insights and knowledge from data.
– Python: A popular programming language that is widely used in AI and ML applications due to its simplicity and readability.
Suggested related links:
– SBD CDC
– IDSIA
– Machine Learning AI
– Analytics Vidhya
The source of the article is from the blog dk1250.com