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ML Engineer

ML Engineer

AI & Data

Deploy and maintain machine learning models in production

Salary Range
₹7.0L - ₹18.0L
Job Demand
High
AI Impact
High
Growth Potential
Fast
About This Career

Why Choose This Career?

Very high demand, excellent salary, rapid growth, remote opportunities

Future Scope

Senior ML Engineer, ML Architect, Technical Lead

Required Skills
Python
Deep Learning
DevOps
Docker
Cloud (AWS/GCP)
MLOps
Learning Roadmap
Step-by-step guide to become successful in this career
1

Core CS Fundamentals

System design, databases, algorithms

⏱️ Duration: 1-2 months

2

Machine Learning Basics

ML algorithms and frameworks

⏱️ Duration: 2-3 months

3

Deep Learning

Neural networks, TensorFlow/PyTorch

⏱️ Duration: 2-3 months

4

Cloud Platforms

AWS, GCP, or Azure ML services

⏱️ Duration: 1-2 months

5

MLOps & DevOps

Model deployment, monitoring, CI/CD

⏱️ Duration: 2-3 months

6

Build Production Projects

Real-world ML systems

⏱️ Duration: 3-4 months

7

System Design

Design scalable ML systems

⏱️ Duration: 1-2 months

8

Interview & Networking

Interview prep and applications

⏱️ Duration: Ongoing

Education Required

Bachelor's in Computer Science / IT

Quick Facts
Competition Level:

Medium

Work Environment:

Mostly Indoor

Practical vs Theory:

80% Practical, 20% Theory

Top Employers

• Google

• Amazon

• Microsoft

• Apple

• Tesla