Artificial intelligence (AI) is at the forefront of the Fourth Industrial Revolution, often referred to as the Intelligence Revolution, rebuilds industries and affects the future of humanity. A study by Deloitte shows that more organizations are integrating AI into their workflows.
In the Skills sector, AI is a game changer, offering automated assessments that make personalized learning experiences, adaptive content and skill development more efficient and accessible. The AI platform prepares workers to navigate the ever-evolving job market by helping individuals reskill and upskills. A recent survey by the International Monetary Fund (IMF) found that nearly 40% of global employment are associated with AI-related roles.
These jobs are actually increasingly discovered on popular platforms such as LinkedIn, Glassdoor, and Naukri.com, and the demand for AI talent across a variety of industries is surged.
As Udai Singh said, here are five essential roles that are essential in today's AI-driven world:
1. AI Specialist
AI experts are the most in demand in today's market, according to a 2023 survey by the Indian Institute of Management Ahmedabad (IIM-A) and the Boston Consulting Group (BCG). According to the report, India will need 25,000-30,000 AI experts over the next five years. AI specialists are experts working with AI models to create solutions for real-world situations through model design, testing and optimization.
One of the features of the role of AI specialists is to focus on model development and deployment, filling the gap between raw data and practical AI solutions. It also plays an important role in training other employees on how to effectively use AI tools and systems.
2. Machine Learning Engineer
Machine learning is a subset of AI that focuses on creating and managing machine learning algorithms. Unlike AI specialists who are involved in the comprehensive design and implementation of AI models, machine learning engineers are responsible for building and optimizing systems that process large amounts of data.
Their work focuses on improving model performance, with a focus on creating patterns-recognizing systems and improving algorithms through training. With recent changes in AI, the job outlook for machine learning engineers is brighter than ever before, with demand for AI and ML professionals expected to rise by 40% from 2023 to 2027.
3. Data Scientist
According to India's Big Data Technology Market Analysis, data science is a much-expanding area in India. The total Indian big data market size will increase to $3.38 billion by 2029, growing at a rate of 7.66% of CAGR. The work of a data scientist involves analyzing and interpreting data, making it usable within an organization to make informed decisions and ensures success.
Data scientists are primarily interested in interpreting and analyzing data using a variety of tools, including machine learning and AI, but their key output is practical insights rather than AI-based systems.
Their roles are distinguished by focusing on extracting knowledge from data across multiple sources and communicating these findings and informing business strategies. There is a key role in industries such as financial, technology and healthcare data scientists. Proficiency in AI and related fields is essential to pursue a career in this field.
4. AI research scientist
AI research scientists are experts focused on pioneers of new AI models and techniques. While AI experts may focus on applying existing models to solve specific problems, AI research scientists work at the cutting edge of technology and develop algorithms such as deep learning, natural language processing (NLP), and computer vision. They play an important role in advancing the field of AI itself by investigating new technologies and developing prototypes.
Their work is primarily research-oriented and focuses on theoretical advances in AI rather than practical applications of existing models, and is essential in industries such as robotics, automation, and intelligent decision-making systems.
5. Business Intelligence Analyst
Business intelligence analysts are experts who collect business-related data such as revenue, sales, customer engagement and then present information clearly and concisely to stakeholders who suggest actionable insights to improve the organization's success. BI analysts are not about building or investigating AI models, but about interpreting business data to facilitate strategic decision-making.
They are commonly adopted in industries such as IT, banking and finance, media, manufacturing, and more. Key skills for success in this role include the ability to interpret large datasets, effectively communicate insights, and identify data that is most relevant to improving business outcomes.
These roles are important in a wide range of industries, from educational technology and finance to healthcare and manufacturing, reflecting the growing impact of AI across professional landscapes.
