Career Roadmap

Machine Learning Engineer Career Roadmap

Build AI and ML models for production. Combines software engineering with data science.

📅 👥 📊 💰 ₹8-35 LPA

📚 Detailed Learning Path

Month 1-2

Python & Math Foundation

Core Concepts to Master:

Python for Data Science
NumPy & Pandas
Linear Algebra
Probability & Statistics
Calculus Basics

Recommended Resources:

Khan Academy Math

📁 Practice Projects:

• Data manipulation projects
• Statistical analysis

Month 3-4

Machine Learning Basics

Core Concepts to Master:

Supervised Learning
Regression & Classification
Decision Trees & Random Forest
Model Evaluation
Scikit-learn

Recommended Resources:

Andrew Ng ML Course

📁 Practice Projects:

• Predict house prices
• Customer churn model

Month 5-6

Deep Learning

Core Concepts to Master:

Neural Networks
TensorFlow/PyTorch
CNNs for Images
RNNs for Sequences
Transfer Learning

Recommended Resources:

Fast.ai

📁 Practice Projects:

• Image classifier
• Sentiment analysis

Month 7-8

Advanced ML

Core Concepts to Master:

NLP & Transformers
Computer Vision
Reinforcement Learning
GANs
MLOps

Recommended Resources:

Hugging Face

📁 Practice Projects:

• Chatbot
• Object detection

Month 9-12

Production & Career

Core Concepts to Master:

Model Deployment
AWS/GCP ML Services
ML System Design
A/B Testing
Interview Prep

Recommended Resources:

Made With ML

📁 Practice Projects:

• End-to-end ML pipeline
• Portfolio projects

Success Tips

💡Stay consistent with daily practice
💡Build projects to showcase your skills
💡Network with professionals in the field
💡Keep learning and stay updated with industry trends
💡Seek mentorship and guidance

Ready to Start?

Begin with Month 1 and focus on one skill at a time. Consistency beats speed!

Explore More Careers

Disclaimer: Content regarding career roadmaps is for educational purposes only. BharatSarkariYojana.com is not a registered career counselor. Salary figures are approximate and may vary based on location, company, and individual skills.

Career Roadmap

Machine Learning Engineer Career Roadmap

Build AI and ML models for production. Combines software engineering with data science.

📅 👥 📊 💰 ₹8-35 LPA

📚 Detailed Learning Path

Month 1-2

Python & Math Foundation

Core Concepts to Master:

Python for Data Science
NumPy & Pandas
Linear Algebra
Probability & Statistics
Calculus Basics

Recommended Resources:

Khan Academy Math

📁 Practice Projects:

• Data manipulation projects
• Statistical analysis

Month 3-4

Machine Learning Basics

Core Concepts to Master:

Supervised Learning
Regression & Classification
Decision Trees & Random Forest
Model Evaluation
Scikit-learn

Recommended Resources:

Andrew Ng ML Course

📁 Practice Projects:

• Predict house prices
• Customer churn model

Month 5-6

Deep Learning

Core Concepts to Master:

Neural Networks
TensorFlow/PyTorch
CNNs for Images
RNNs for Sequences
Transfer Learning

Recommended Resources:

Fast.ai

📁 Practice Projects:

• Image classifier
• Sentiment analysis

Month 7-8

Advanced ML

Core Concepts to Master:

NLP & Transformers
Computer Vision
Reinforcement Learning
GANs
MLOps

Recommended Resources:

Hugging Face

📁 Practice Projects:

• Chatbot
• Object detection

Month 9-12

Production & Career

Core Concepts to Master:

Model Deployment
AWS/GCP ML Services
ML System Design
A/B Testing
Interview Prep

Recommended Resources:

Made With ML

📁 Practice Projects:

• End-to-end ML pipeline
• Portfolio projects

Success Tips

💡Stay consistent with daily practice
💡Build projects to showcase your skills
💡Network with professionals in the field
💡Keep learning and stay updated with industry trends
💡Seek mentorship and guidance

Ready to Start?

Begin with Month 1 and focus on one skill at a time. Consistency beats speed!

Explore More Careers