Top 10 Career Options Related to AI : How to make future in Artificial Intelligence?
Have you ever wondered how Artificial Intelligence works? Like:
- How do ChatGPT’s chatbots work?
- How does Netflix recommend movies to you?
- How do self-driving cars run on the road? How do they run without a driver? It is worth thinking about:
So there is only one technology behind all these and that is – Artificial Intelligence (AI)
AI is not just the future, but the reality of today – and it is opening the door to millions of jobs. And is also taking away many jobs.
Here, we will discuss the top 10 career options in AI – each profile, required skills, average salary and how to get started. Full details:
What is AI?
Artificial Intelligence is a technology in which computers have the ability to think, learn and take decisions like humans. It does all the work very well.
Now let’s know what are the main parts of AI:
- Machine Learning (ML)
- Deep Learning (DL)
- Natural Language Processing (NLP)
- Computer Vision
- Robotics
Now let’s know about the top career options related to these.
Top 10 Career Options - in AI
1. AI Engineer
Let’s know about the work of an (Artificial Intelligence) AI Engineer —
- Creating AI models
- Creating machine learning algorithms
- Creating real-world AI applications (such as voice assistants, chatbots)
Required skills: Python, ML, DL, TensorFlow, Neural Networks
Average salary (in India): ₹10 – ₹25 lakh/year (This is just an estimate)
2. Machine Learning Engineer
Now let’s know what is the work of a Machine Learning Engineer:
- Creating learning models from data
- Creating prediction systems (such as recommendation engines)
Required skills: Must have knowledge of Python, Scikit-learn, Pandas, AWS/GCP.
Average salary: ₹8 – ₹22 lakh/year
3. Data Scientist
Let’s know what a Data Scientist does:
- Extracting insights from data
- Making predictions
- Helping in decision making
Required skills: Must have knowledge of Python, R, SQL, Stats, Visualization Tools.
Average salary: ₹7 – ₹20 lakh/year (This is estimated)
4. Deep Learning Engineer
Deep Learning Engineer Now let’s know what work is involved in it:
- Creating Neural Network models
- Doing image, voice and text processing
Required skills: TensorFlow, PyTorch, CNN, RNN
Average salary: ₹10 – ₹30 lakh / year (This is only estimated)
5. NLP Engineer (Natural Language Processing)
NLP EngineerNow let’s know what work is involved in this:
- Creating systems that understand text and language
- Chatbots, translation tools, search engines
Required skills: NLTK, Spacy, Transformers, BERT, LLMs
Average salary: ₹9 – ₹22 lakhs/year (This is just an estimate)
6. Computer Vision Engineer
Computer Vision EngineerNow let’s know what work is involved in it:
- Creating models to recognize and process images / videos
- Face detection, object tracking, medical imaging
Required skills:OpenCV, CNN, YOLO, PyTorch
Average salary: ₹10 – ₹25 lakh / year (This is just an estimate)
7. Robotics Engineer (AI-based)
Know how a Robotics Engineer works:
- Creating AI-enabled robots that can take decisions
- Used in industry, healthcare, defense
Required skills: ROS, Python, Embedded Systems, AI Models
Average salary: ₹6 – ₹18 lakh/year (This is just an estimate)
8. AI Ethics & Policy Expert
AI Ethics & Policy ExpertNow let’s know how it works:
- Ensuring ethics and privacy of AI systems
- Work on data bias, fair use, and AI laws
Required skills: Tech + Policy Understanding, Research, Ethics
Average salary: ₹8 – ₹15 lakh/year (This is just an estimate)
8. AI Product Manager
Now let’s know how an (Artificial Intelligence) AI Product Manager works:
- Planning and implementation of AI based products
- Being a bridge between the technical team and the business team
Required skills: Tech + Business understanding, Agile, AI Concepts
Average salary: ₹15 – ₹30 lakh/year (This is just an estimate)
10. AI Research Scientist
Know what an AI Research Scientist does:
- Creating new algorithms
- Pushing the boundaries of AI (like GPT models)
- PHD / Research level work
Required skills: Math, Algorithms, Theory, Research Papers
Average salary: ₹18 – ₹40 lakhs/year (and more at international level) This is just an estimate, it can be more or less than this.
How to start a career in AI? Now let's know what to learn for this:
Necessary steps to take for beginners:
1. Learn Python – the main language of AI
2. Understand Math – Linear Algebra, Probability
3. Learn ML Basics – Coursera, Google AI, Kaggle
4. Make a project – Chatbot, Prediction Model, Recommendation System
5. Showcase on GitHub
6. Practice interviews – Leetcode, InterviewBit
7. Join the data science community – Kaggle, Analytics Vidhya
Now let’s know about the top courses:
| Platform | Course name |
| Coursera | IBM AI Specialization, Andrew Ng ML |
| edX | AI by Columbia University |
| Udemy | AI for Everyone, Deep Learning Bootcamp |
| fast.ai | Practical Deep Learning |
| TensorFlow Learn AI |
Now let’s know what is the future of AI in India:
It is expected that 10 lakh+ AI jobs (Artificial Intelligence) will be available in India by 2025. It is due to rapid expansion in healthcare, education, agriculture.
According to NASSCOM – “AI can add ₹1 trillion to India’s GDP” (This is just an estimate, it can be more or less)
Conclusion
There are huge possibilities in the field of (Artificial Intelligence) AI. Whether you are from a technical background or not, if you want to learn, many avenues are open for you.
“Learning AI means preparing to shape the future. Making the future brighter”
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