proofstone / become / artificial intelligence & machine learning / applied ai

Applied AI

Models in products: trained, served, evaluated, watched. Pick a profession: each one is a map you walk node by node, and every card says, up front, what you need before you start.

5 professions · 5 planned

Machine learning engineer

planned

Models in production: trained, deployed, monitored.

stack: Python · PyTorch · scikit-learn

before you start: you already write code

AI engineer

planned

Products built on models that already exist: RAG, agents, prompts, evals.

stack: Python / TypeScript · LLM APIs · vector databases

before you start: you already write code

MLOps engineer

planned

Training and release pipelines, feature stores, model monitoring.

stack: Python · MLflow · Kubernetes · Airflow

before you start: you already ship ML models or run services

Computer vision engineer

planned

Machines that see: detection, segmentation, video.

stack: PyTorch · OpenCV

before you start: you already write Python

NLP engineer

planned

Text and speech: classification, extraction, translation, recognition.

stack: PyTorch · transformers

before you start: you already write Python