How to Become a AI / Machine Learning Engineer

The deeper AI career path.

With AI: AI / Generative AI Engineer

What You Do

Build and evaluate ML systems
Work with data and features
Train and use models
Develop deep-learning solutions
Work with transformers and LLMs

Core Skills

Python
Statistics
Probability
Linear algebra
Machine learning
Deep learning
Transformers
LLMs

AI Advantage

Generative AI
RAG
Agents
Fine-tuning
Evaluation
MCP

Fundamentals + AI, Not AI Instead of Fundamentals

AI can generate code, SQL, scripts, test cases and documentation, but a AI / Machine Learning Engineer still needs strong fundamentals and the judgement to verify AI output. Start with your role, build fundamentals, add AI, build projects and keep learning.