Artificial intelligence and AI jobs are the hottest trending concepts everywhere in the world. People are speculating about different possibilities with AI. Some people think it will take away various jobs, while others think it will create new job opportunities. Some think AI is dumbest, while others believe in the concept of faster growth.
We need to be positive and focus on upskilling to stay on top of the latest trends. There are multiple AI jobs booming in the market today. Let us learn the process of upskilling, job roles, and more about AI jobs available today.
Overview of an AI Career
Choosing a career in Artificial Intelligence (AI) can be a good decision for many reasons, but it also depends on your interests, skills, and career goals. AI can be a rewarding and lucrative career choice for those with the right skills and interests. If someone enjoys solving complex problems, is passionate about technology, and is willing to continuously learn and adapt, a career in AI could be a great fit.
However, it’s important to weigh the challenges and stay informed about the ethical and societal implications of AI Technologies. Various reasons that are enough to classify AI jobs as different from other jobs are mentioned below:
- AI jobs are in high demand, hence, there are big job opportunities in AI jobs.
- They offer a competitive salary, especially for those who are skilled and have experience.
- These jobs are based on cutting-edge technologies, making them innovative and impactful.
- AI often involves working with experts in various domains, offering a chance to engage in interdisciplinary collaboration.
Key Takeaways
- There are many job opportunities in AI because the field is growing fast, which puts it in high demand.
- AI jobs pay well, especially for skilled and experienced professionals, making them competitive salary-based jobs.
- AI work involves using the latest technologies to create solutions that can have a big impact, making it an innovative and impactful job.
- AI jobs often involve working with experts from different fields, offering diverse collaboration opportunities.
Will AI Jobs Be in Demand In the Coming Years?
Most Businesses are now integrating their daily operations with the power of AI tools and automation. Everyone wants to be in the race to utilize the power of AI, which will play a major role in digital transformation and lead to substantial growth in AI-related job opportunities.
The global market size for artificial intelligence is projected to expand at a compound annual growth rate (CAGR) of 37.3% from 2024 to 2030. Hence, AI is going to create many job opportunities. Hence, it is important to be prepared and start learning about AI to boost your productivity as well grab multiple opportunities.
Top AI Careers with the Payment Overview
Some of the major career options available to you have opportunities and are high pay.
1. Machine Learning Engineer
A machine learning engineer creates and implements machine learning models and algorithms. A machine learning engineer should have strong programming skills in Python or R. Also, an ML engineer should have knowledge of machine learning frameworks like TensorFlow, and PyTorch, as well as a solid understanding of statistics and data science.
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Payment Overview of a Machine Learning Engineer |
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| Experience Level | Average Annual Salary (INR) | Salary Range (INR) | Notes |
| Entry-Level | ₹7,470,000 – ₹9,130,000 | ₹5,810,000 – ₹9,960,000 | Typically, 0-2 years of experience, recent graduates, or junior roles. |
| Mid-Level | ₹9,960,000 – ₹11,620,000 | ₹8,300,000 – ₹13,280,000 | Typically 2-5 years of experience, more complex projects, and some management tasks. |
| Senior-Level | ₹12,450,000 – ₹14,940,000 | ₹10,790,000 – ₹16,600,000+ | 5+ years of experience, leading projects, mentoring juniors, and significant expertise. |
| Lead/Architect | ₹14,940,000 – ₹18,260,000 | ₹13,280,000 – ₹20,750,000+ | Extensive experience, leadership roles, strategic decision-making. |
2. Data Scientists
A data scientist is responsible for analyzing and interpreting complex data to help organizations make informed decisions. A data scientist should have expertise in statistical analysis, programming in Python and R, data visualization tools, and machine learning.
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Payment Overview of a Data Scientist |
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| Experience Level | Average Annual Salary (INR) | Salary Range (INR) | Notes |
| Entry-Level | ₹6,640,000 – ₹8,300,000 | ₹5,390,000 – ₹9,130,000 | Typically, 0-2 years of experience, recent graduates, or junior roles. |
| Mid-Level | ₹9,130,000 – ₹11,120,000 | ₹7,470,000 – ₹12,450,000 | Typically 2-5 years of experience, handling more complex data analysis tasks. |
| Senior-Level | ₹12,450,000 – ₹15,970,000 | ₹10,370,000 – ₹18,600,000+ | 5+ years of experience, leading data projects, and mentoring juniors. |
| Lead/Architect | ₹16,600,000 – ₹20,750,000 | ₹14,940,000 – ₹24,900,000+ | Extensive experience, leadership roles, and strategic decision-making. |
3. AI Research Scientist
An AI research scientist is responsible for conducting research to advance AI technologies and develop new algorithms. An AI research scientist is required to have skills including a deep understanding of AI and machine learning principles, a strong mathematical background, and experience in programming and research.
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Payment Overview of an AI Research Scientist |
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| Experience Level | Average Annual Salary (INR) | Salary Range (INR) | Notes |
| Entry-Level | ₹8,300,000 – ₹10,790,000 | ₹6,640,000 – ₹12,450,000 | Typically 0-2 years of experience, recent Ph.D. graduates, or junior researchers. |
| Mid-Level | ₹11,620,000 – ₹14,110,000 | ₹9,960,000 – ₹16,600,000 | Typically 2-5 years of experience, leading projects, and collaborating with senior researchers. |
| Senior-Level | ₹14,940,000 – ₹17,430,000 | ₹13,280,000 – ₹19,920,000+ | 5+ years of experience recognized expertise, and leading large-scale research projects. |
| Lead/Chief Scientist | ₹17,430,000 – ₹21,450,000 | ₹15,770,000 – ₹24,790,000+ | Wide-ranging experience, leadership responsibilities, and major contributions to the area. |
4. AI Ethics consultant
An AI ethics consultant is responsible for addressing ethical issues related to AI and ensuring technologies are developed responsibly. The skills required to be an AI ethics consultant include knowledge of AI technologies, ethical principles, policy development, and strong communication skills.
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Payment Overview of an AI Ethics Consultant |
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| Experience Level | Average Annual Salary (INR) | Salary Range (INR) | Notes |
| Entry-Level | ₹6,640,000 – ₹8,300,000 | ₹4,980,000 – ₹9,140,000 | Typically, 0-2 years of experience, recent graduates, or junior roles. |
| Mid-Level | ₹8,300,000 – ₹9,960,000 | ₹6,640,000 – ₹11,620,000 | Typically 2-5 years of experience, more complex projects, and some management tasks. |
| Senior-Level | ₹11,620,000 – ₹14,110,000 | ₹9,960,000 – ₹16,600,000+ | 5+ years of experience, leading projects, mentoring juniors, and significant expertise. |
| Lead/Architect | ₹14,110,000 – ₹16,600,000 | ₹13,280,000 – ₹19,130,000+ | Extensive experience, leadership roles, and strategic decision-making. |
5. Natural Language Processing (NLP) Engineer
A natural language processing engineer, or, in short, NLP engineer, is responsible for developing systems that can understand and process human language. The NLP engineer must have expertise in linguistics, machine learning, programming, and experience with NLP frameworks like NLTK, SpaCy, and many more.
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Payment Overview of an NLP Engineer |
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| Experience Level | Average Annual Salary (INR) | Salary Range (INR) | Notes |
| Entry-Level | ₹7,470,000 – ₹9,130,000 | ₹5,810,000 – ₹9,960,000 | Typically, 0-2 years of experience, recent graduates, or junior roles. |
| Mid-Level | ₹9,960,000 – ₹11,620,000 | ₹8,300,000 – ₹13,280,000 | Typically 2-5 years of experience, more complex projects, and some management tasks. |
| Senior-Level | ₹12,450,000 – ₹14,940,000 | ₹10,790,000 – ₹16,600,000+ | 5+ years of experience, leading projects, mentoring juniors, and significant expertise. |
| Lead/Architect | ₹14,940,000 – ₹18,260,000 | ₹13,280,000 – ₹20,750,000+ | Extensive experience, leadership roles, and strategic decision-making. |
6. Big Data Engineer
A big data engineer is responsible for designing, building, and managing large-scale data processing systems that can handle vast amounts of data. They ensure that data pipelines are scalable, efficient, and robust, enabling organizations to analyze and leverage their data effectively.
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Payment Overview of a Big Data Engineer |
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| Experience Level | Average Annual Salary (INR) | Salary Range (INR) | Notes |
| Entry-Level | ₹7,470,000 – ₹9,130,000 | ₹5,810,000 – ₹9,960,000 | Typically, 0-2 years of experience, recent graduates, or junior roles. |
| Mid-Level | ₹9,960,000 – ₹11,620,000 | ₹8,300,000 – ₹13,280,000 | Typically 2-5 years of experience, more complex projects, and some management tasks. |
| Senior-Level | ₹12,450,000 – ₹14,940,000 | ₹10,790,000 – ₹16,600,000+ | 5+ years of experience, leading projects, mentoring juniors, and significant expertise. |
| Lead/Architect | ₹14,940,000 – ₹18,260,000 | ₹13,280,000 – ₹20,750,000+ | Extensive experience, leadership roles, and strategic decision-making. |
How to Prepare for AI Jobs In 2024?
You can prepare for AI jobs through a thousand online resources and learning materials. However, you must be careful while selecting the materials. Check step by step process to prepare for AI jobs.
- If you already have specialization in a field like Data Science, Machine Learning, Big Data, or NLP, you can upgrade your productivity by learning generative AI.
- Generative AI will be the most important concept in artificial intelligence in 2024.
- Check for authentic and reliable online courses for Generative AI that are easily available.
- Gain a strong foundation in Computer Science and related concepts.
- Get an internship and work on real-time projects related to Artificial intelligence.
- Stay up to date with the latest AI tools and technologies.
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AI Jobs FAQs
Q1. Are AI jobs in demand?
Ans: The global market size for artificial intelligence is projected to expand at a compound annual growth rate (CAGR) of 37.3% from 2024 to 2030. Hence, AI is going to create many job opportunities.
Q2. Is AI a high paying job?
Ans: AI experts are professionals with the latest skills and expertise in generative AI and advanced AI tools. People with knowledge of AI are paid well, with an average annual salary ranging from 30 to 40 LPA.
Q3. Does AI require coding?
Ans: Knowledge of programming is the primary requirement for AI-related jobs. You must have a good knowledge of computer science and related subjects.
Q4. Is AI hard to learn?
Ans: AI is not complex and hard to learn if you have a good knowledge of computer science and related subjects, programming, mathematics, statistics, and more. With the help of these skills, you will be able to easily analyze data, develop optimized algorithms and advanced tools.
