AI ML Career Paths for Freshers & Non-Tech Backgrounds

“I want to get into AI, but I’m not from a tech background. Is it even possible?”
If you’ve ever had this thought, you’re not alone. It’s probably one of the most common questions we get at Skill Babu. And here’s the honest answer:
YES , you can absolutely start a career in AI & Machine Learning, even if you’ve never written a line of code before.
Whether you're a fresh graduate confused about your next step, a working professional stuck in a repetitive job, or someone from an arts/commerce background wanting to pivot this guide is your sign that it’s not too late to start.
Let’s break down how AI/ML careers in India are booming, and how you can jump in, even with zero tech experience.
1. What Even Are AI and Machine Learning Careers?
You don’t need to be a computer science wizard to understand this.
Here’s the deal:
- AI (Artificial Intelligence) is the field where we teach machines to behave like humans.
- Machine Learning (ML) is one way that we "train" machines using data so they can learn and make decisions on their own.
Think of Netflix recommending you movies, Google Maps suggesting routes, or even ChatGPT answering your questions that’s AI & ML in action.
Common AI/ML Job Roles:
- Machine Learning Engineer Builds machine learning models using large datasets to make predictions or automate decisions.
- Data Analyst Look at data to find patterns and insights that help businesses make smarter decisions.
- AI Product Manager Plans and manages AI-powered features in apps or platforms, working with tech and design teams.
- Prompt Engineer Crafts smart, effective prompts to get accurate results from AI tools like ChatGPT or Gemini.
- AI Ops Specialist Maintains and monitors the performance of machine learning systems once they're deployed.
These jobs aren’t reserved for PhDs or coders anymore. The industry is opening up to smart learners from all walks of life.
2. How Can Non-Coders Get Into AI/ML?
You don’t need to start with Python or deep math. In fact, many of our students at Skill Babu begin with non-coding AI roles before diving deeper.
Here are 3 beginner-friendly entry points:
Prompt Engineering
If you love playing around with ChatGPT or Gemini, you’re halfway there. Prompt engineering is all about crafting smart questions/instructions for AI tools. No coding needed , just critical thinking, creativity and communication.
Data Labeling / AI Training Assistant
AI learns from labeled data. You can start by working on platforms that train AI models by labeling images, audio or text. It's low-code and helps you understand how machines "see" data.
AI Ops / ML Support Roles
These involve helping data teams manage workflows, monitor model accuracy, or assist in testing. It’s like being the backstage tech crew for an AI show.
3. How to Go from Beginner to Pro in AI & Machine Learning
You don’t need to do everything at once. Here's how most of our learners climb up the AI/ML career ladder:
Step-by-Step AI/ML Skill Path
**Step 1: Learn Python (basic)
**
Just the fundamentals variables, loops, if/else. You don’t need to master it overnight. There are thousands of free YouTube tutorials and beginner projects to practice.
**Step 2: Understand how ML works
**
Focus on concepts like supervised vs unsupervised learning, classification, regression. Tools like Scikit-learn make it easier to apply them.
Step 3: Build real-world projects Like:
- Predicting house prices.
- Sentiment analysis on tweets.
- AI-powered resume screeners.
Step 4: Share your learning Upload your projects on GitHub or make quick YouTube shorts. Recruiters today care more about real skills than degrees.
Step 5: Apply for internships and entry roles Start small, even unpaid or freelance. The goal is to build experience, not chase a ₹20L job on day one.
4. AI Jobs in India: Salary Trends & Hiring Boom (2025)
The Indian AI market is growing like crazy expected to reach $18 billion by 2027. Companies from startups to IT giants are hiring.
Here’s a quick snapshot of AI/ML salaries in India:
AI Intern (Fresher) If you’re just starting out, internships in AI typically pay between ₹10,000 to ₹20,000 per month. A great way to gain hands-on experience.
Junior Machine Learning Engineer (0–2 Years Experience) Entry-level ML engineers earn around ₹25,000 to ₹45,000 per month, depending on the company and your skill level.
Data Analyst (1–3 Years Experience) With some experience in analyzing data and creating reports, you can earn between ₹30,000 to ₹60,000 per month.
Prompt Engineer (1–2 Years Experience) This new-age role pays surprisingly well, with salaries ranging from ₹35,000 to ₹75,000 per month perfect for those who understand how to guide AI tools effectively.
AI Product Manager (3+ Years Experience) With strong technical and business understanding, AI product managers earn between ₹80,000 to ₹1.5 lakh per month, especially in product-based companies and startups.
Hiring Hotspots:
- Bangalore
- Hyderabad
- Pune
- Jaipur (yes, more on this below!)
- Gurgaon
You don’t need to work for Google to get a good job. Plenty of product-based startups, SaaS companies, and even government agencies are hiring.
5. Jaipur: The Underrated AI Training Hub You Should Know About
When you think tech, you think Bangalore, right?
But here’s the twist Jaipur is quietly becoming a top destination for AI/ML learning and jobs.
Here’s why:
- Affordable living compared to Tier-1 cities.
- Fast-growing startup scene especially in edtech and SaaS.
- Offline learning centers like Skill Babu offer hands-on training.
- Community vibe, local meetups, AI clubs, mentorships.
Many learners come from Delhi, Haryana, and even MP to Jaipur just for the intensive courses here. And employers are beginning to notice.
6. You Don’t Need to Be Perfect — You Just Need to Begin
Let’s bust a few myths real quick:
- You need a tech degree Nope. Skills > Degree.
- You need to be good at math. Some basics help, but tools do most of the heavy lifting.
- It’s too late to start . The AI wave is just beginning.
What does matter?
- Curiosity
- Willingness to learn.
- Showing up every day and doing the work.
7. Ready to Take the First Step?
If you’ve read this far, you already care about your future and that’s a big win.
Whether you're:
- a fresher not sure where to begin.
- a career switcher exploring new-age roles.
- or someone from a non-tech background who's finally ready to give this a shot...
You don’t have to figure it all out alone.
Conclusion : How to Start Your AI Career in 2025
The demand for AI and Machine Learning professionals is booming in India, and the good news is you don’t need a tech background to start.
This guide walks freshers, career changers and non-coders through beginner-friendly AI/ML roles like Prompt Engineer, Data Analyst and AI Ops Specialist.
It explains how to climb the skill ladder starting with basic Python and moving toward real-world projects.With growing opportunities and accessible learning paths, now is the perfect time to begin your AI career.
Subscribe to my newsletter
Read articles from Deorwine Infotech directly inside your inbox. Subscribe to the newsletter, and don't miss out.
Written by
