Future and Scope of MLOps Careers in India (2025 & Beyond)
In today's data-driven world, Machine Learning (ML) is everywhere—from predicting online shopping behavior to automating financial services. But creating an ML model is only half the battle. The real challenge lies in deploying, managing, and maintaining that model in a real-world environment. This is where MLOps comes in.
As more companies in India adopt AI and data science, the demand for MLOps professionals is rising rapidly. Whether you're a fresher, software engineer, or data scientist, MLOps is becoming one of the most exciting and high-paying tech careers in India.
What is MLOps?
MLOps (Machine Learning Operations) is a combination of Machine Learning, DevOps, and Data Engineering. It helps teams automate the process of taking a model from development to production, and ensures the model runs efficiently, updates regularly, and adapts over time.
In simple words: MLOps is how companies turn AI experiments into working business solutions.
Why MLOps is Important TodayMLOps is no longer optional. As more businesses invest in AI/ML, they need professionals who can:
- Deploy machine learning models to production
- Monitor performance and retrain models regularly
- Manage large datasets and data pipelines
- Ensure security, reliability, and scalability of AI systems
Whether it’s healthcare, banking, logistics, or e-commerce—MLOps is key to delivering real value from AI.
Scope of MLOps Careers in India
India’s IT and data science industry is growing fast, and MLOps is one of the most in-demand skills in 2025.
???? Growing Demand
Startups, MNCs, and product-based companies are hiring MLOps engineers.
Popular companies hiring MLOps talent: TCS, Infosys, Accenture, Google India, Flipkart, Zomato, Razorpay, and more.
Popular Job Roles :
- MLOps Engineer
- Machine Learning Engineer
- AI/ML DevOps Engineer
- Data Scientist with MLOps skills
- Cloud ML Engineer
Salary Expectations (India)
| Level | Experience | Salary Range (INR per year) |
|---|---|---|
| Beginner | 0–2 years | ₹6 – ₹10 LPA |
| Mid-Level | 2–5 years | ₹12 – ₹20 LPA |
| Senior | 5+ years | ₹20 – ₹35 LPA |
These salaries may increase further if you have experience with tools like Docker, Kubernetes, Git, MLflow, Airflow, AWS, Azure, and GCP.
Who Should Learn MLOps?
MLOps is a great career choice if you are:
- A software engineer wanting to move into AI
- A data scientist aiming to deploy models professionally
- A DevOps engineer exploring AI tools
- A student or fresher planning to enter the AI/ML space
You don’t need to be an AI expert to start—just a willingness to learn and practice!
MLOps Course by BrollyAI – Learn from Industry Experts
At BrollyAI, we offer a practical, project-based MLOps Course in Hyderabad, available in online and offline formats.
Course Highlights:
- Introduction to MLOps lifecycle
- Model deployment using Docker, Kubernetes
- Version control with Git & MLFlow
- CI/CD for ML pipelines
- Real-world deployment on AWS or GCP
- Live projects with mentorship
- Certification upon course completion
- 100% placement assistance
This course is suitable for beginners and working professionals. No prior experience in AI required.
Other AI Courses Offered by BrollyAI:
BrollyAI also offers job-oriented programs in:
- Machine Learning
- Generative AI Course
- Prompt Engineering Course
- AI with Large Language Models (LLMs)
- Full Stack AI Developer Program
Each course is designed to be industry-relevant, includes hands-on practice, and comes with mentorship + placement support.
The Future of MLOps in India
India is set to become a global hub for AI and data-driven innovation. As cloud computing and automation grow, MLOps will play a central role in delivering scalable, production-ready AI solutions.
From automating customer service to optimizing medical diagnosis, MLOps professionals will lead the AI revolution. With the right training, you can secure a future-proof career that blends technology, innovation, and high income.
Final Words
If you're looking for a tech career with high growth, high demand, and great salaries, MLOps is a smart move. It bridges the gap between machine learning and real-world applications.
Learn MLOps from BrollyAI and become job-ready in just a few months—with certification, live projects, and career support included