The demand for artificial intelligence (AI) and machine learning (ML) professionals is expected to grow significantly in 2025, with industries such as healthcare, BFSI and IT driving this trend. As companies increasingly integrate AI technology, candidates with expertise in AI roles can expect lucrative opportunities, especially those with deep foundational knowledge and hands-on experience.
Industries such as healthcare, BFSI and IT are expected to see unprecedented growth, driven by advances in AI diagnostics, automation and customer experience. However, professionals face challenges in mastering deep AI concepts, balancing ethical considerations, and continually updating tools.
Top Artificial Intelligence Jobs and Estimated Salaries in 2025
With roles such as Artificial Intelligence Engineer, Generative AI Developer, and Artificial Intelligence Research Scientist, salaries for Artificial Intelligence and Machine Learning professionals range from $12-22 LPA, reflecting the surge in demand for artificial intelligence expertise.
| i have a job | Role | Estimated package (yearly) |
|---|---|---|
| Artificial Intelligence Engineer | Responsible for developing and deploying AI solutions | $12- $1.4 million |
| Generative Artificial Intelligence Developer | Design, develop and manage artificial intelligence systems | $1.6-1.8 million |
| data scientist | Collection and interpretation of management data | $1.5-1.8 million |
| Artificial intelligence research scientist | Design and test new technologies to improve artificial intelligence efficiency | $180,000-2 million |
| Machine Learning Engineer | Design and develop machine learning systems | $1.3-1.6 million |
| Chatbot Engineer | Create applications for automated communication between companies and customers | $60,000-800,000 |
| Cybersecurity expert | Company data is protected from cyber threats | $100,000-1.2 million |
Sachin Alug, CEO of NLB Services, said the top five hottest AI jobs next year will include artificial intelligence engineers, generative AI developers, data scientists, artificial intelligence research scientists and machine learning engineers. These roles are critical to driving automation, data analytics and innovation across industries.
In addition, roles such as natural language processing engineers and robotics engineers will be valued. Powered by generative AI expansion, NLP engineers can look forward to $12-14 LPA, while robotics engineers are expected to earn some of the highest salaries, ranging from $18-22 LPA.
“As artificial intelligence becomes more integrated into the business world, the demand for skilled professionals will only grow. New students entering the field can expect slightly lower salaries, but can scale up quickly based on their specialized knowledge and skills,” Alug explains road.
Artificial Intelligence Jobs in Healthcare, Insurance and BFSI
Various industries may still need jobs in AI professionals, especially healthcare, banking, financial services and insurance (BFSI).
“When we look at anything within BFSI, be it banking, finance or NBFCs, there is a surge in jobs related to artificial intelligence. The word fintech already consists of ‘technology’. You know, the insurance industry is investing heavily in artificial intelligence technology, whether it’s claims settlement, premium calculation, or product design.
“The adoption of AI in healthcare will address inefficiencies by automating repetitive tasks, enhancing diagnostics, and improving patient outcomes. Positions such as data scientists, natural language processing engineers, and AI model developers will be in high demand. Additionally, government initiatives like Ayushman Bharat are promoting technology-driven access to healthcare,” Alug told Livemint.
“AI-driven employment opportunities will gradually grow in all sectors, including primarily human-centric sectors such as healthcare and BFSI. In healthcare, AI will bring advancements in areas such as diagnostics, medical imaging, and personalized treatments for individuals. .At the same time, BFSI will leverage AI to enhance customer experience, streamline operations and significantly cut costs. These industries are at the forefront of AI adoption, delivering real, measurable impact.
Krishnendu Chatterjee explained why AI work is booming in cybersecurity, telling Livemint: “When we use data, we are vulnerable to people trying to hack into our server systems. So we have to constantly work from a security perspective. Upgrade yourself.
Challenges of transitioning to an AI role
Despite growing opportunities, professionals looking to move into AI-related positions still face certain challenges. Alug emphasizes the need to master complex skills such as programming, data management and understanding artificial intelligence frameworks. Continuously innovating, addressing ethical issues, and ensuring the fairness of AI systems also add complexity.
Chatterjee believes that the proliferation of AI-related courses could increase the risk of a decline in the quality of training and education as demand for AI-related jobs continues to grow.
“Before, we had a shortage of engineers in the country, now you go to any state and there are a hundred engineering colleges. So the quality of training and the quality of education started to deteriorate. As the whole ecosystem of artificial intelligence and machine learning started to expand, the quality of training, Product understanding and the quality of one’s output may deteriorate.
Abhimanyu Saxena, co-founder of Scaler, pointed out that lack of skill depth is a major challenge. “Professionals often pursue multiple certifications without understanding core concepts. Employers look for candidates who have a grasp of how AI models operate, including the underlying mathematics and system fundamentals. Hands-on projects and structured upskilling are critical to overcoming this gap Crucial.
Upskilling for Freshers and Professionals
Freshers and professionals looking to take advantage of AI job opportunities in 2025 must focus on developing foundational and practical skills. Saxena recommends leveraging artificial intelligence tools such as OpenAI models, Google Gemini and Cursor to increase productivity in various roles.
“Participating in hackathons, Kaggle competitions, and internships are essential to gain practical experience. Learning Python, data structures, and basic AI concepts will make freshers industry-ready.
For those looking for structured learning, Google’s free introductory courses and more comprehensive courses, such as those offered by Scaler, can provide strong foundational and advanced skills tailored for AI and ML roles.
With AI-driven solutions on the rise across industries, 2025 will be a critical year for job seekers looking to enter or advance the field of artificial intelligence and machine learning. By focusing on practical skills, continuous learning and industry-specific expertise, professionals can gain valuable roles in this dynamic and evolving environment.
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