Free Career Roadmap
Become a Machine Learning Engineer
Where research meets production. Ship AI at scale.
Duration
12 months
Salary Range
$100k – $300k+
Difficulty
advanced
Job Demand
very high
4
Phases
19
Skills to Learn
11
Projects
3
Certifications
1
Phase 1 · Months 1–3
ML + Software Foundations
Strong software engineering + ML basics.
Core Skills to Master
Recommended Projects
5 ML notebooks (regression, classification)
Production-quality Python code
Personal ML blog started
Industry Certifications
Machine Learning by Andrew Ng
Key Milestones (3)
ML fundamentals mastered
Clean Python codebase
Portfolio started
2
Phase 2 · Months 4–6
Deep Learning + Frameworks
PyTorch/TensorFlow and neural network mastery.
Core Skills to Master
Recommended Projects
Image classifier from scratch
NLP project (sentiment/QA)
Fine-tune a transformer
Industry Certifications
Deep Learning Specialization (Coursera)
Key Milestones (3)
Trained multiple DL models
GPU workflow comfort
3 deep learning projects
3
Phase 3 · Months 7–9
MLOps + Production ML
Deploy, monitor, and scale ML systems.
Core Skills to Master
Recommended Projects
End-to-end MLOps pipeline
LLM application (RAG, agents)
Contribute to Hugging Face
Industry Certifications
AWS ML Specialty ($300)
Key Milestones (3)
Deployed production ML model
MLOps fluency
LLM application built
4
Phase 4 · Months 10–12
Land Your ML Role
Target AI labs and ML-heavy companies.
Core Skills to Master
Recommended Projects
Published ML notebooks
Technical blog on ML topics
Target Companies
Key Milestones (3)
30+ targeted applications
5+ ML interviews
ML offer signed
Job Ready — Machine Learning Engineer
Completing this pathway equips you with verified projects, assessment scores, and the exact skills required by current hiring managers.