The hottest specialization of the AI boom — build the AI systems themselves. Scarce talent commands premium pay; built on a software or data-science base.
Gold = credential gate. Each turn: more skill → more pay → the next step.
1
Software or data-science foundation
Strong Python + a SWE or data-science background is the usual base.
◆ GMA Academy — data/Python
2
Learn deep learning + frameworks
Neural nets, PyTorch/TensorFlow, LLMs; a portfolio of real models.
◆ GMA jobs + mentor
3
Land an ML engineer role
Build and deploy ML in production.
4
Ship AI systems · ~$150–250K
The scarce, top-paid branch of data/AI.
5
Specialize: MLOps or research
MLOps at scale, or a master's/PhD for research-scientist roles.
The flywheel: each production model + framework you master makes the next, harder AI system reachable — and demand for people who can actually ship AI far outruns supply.
