Perfil de habilidad

LLM Scaling

Esta habilidad define expectativas en roles y niveles.

Machine Learning & AI LLM & Generative AI

Roles

donde aparece esta habilidad

Niveles

ruta de crecimiento estructurada

Requisitos obligatorios

los otros 5 opcionales

Machine Learning & AI

LLM & Generative AI

22/2/2026

Selecciona tu nivel actual y compara las expectativas.

Qué se espera en cada nivel

La tabla muestra cómo crece la profundidad desde Junior hasta Principal.

Rol	Obligatorio	Descripción
LLM Engineer		Knows basic LLM scaling concepts: scaling laws, compute-optimal training, emergent abilities. Understands trade-offs between model size and computational resources for different tasks.

Rol	Obligatorio	Descripción
LLM Engineer		Independently plans scaling strategies: compute budget calculation using scaling laws, model size vs data size selection. Optimizes training and inference costs for 7B-13B parameter models.

Rol	Obligatorio	Descripción
LLM Engineer		Designs scaling strategy for large LLM: multi-stage scaling plans, Chinchilla-optimal training, progressive training. Optimizes balance between model quality, training cost, and inference latency.

Rol	Obligatorio	Descripción
LLM Engineer		Defines scaling standards for the LLM team. Establishes guidelines for compute budgeting, model size selection, cost-benefit analysis. Coordinates scaling decisions for multiple products.

Rol	Obligatorio	Descripción
LLM Engineer		Shapes enterprise LLM scaling strategy. Defines long-term compute strategy, cloud provider partnerships, and hardware planning. Ensures optimal scaling decisions at organizational level.

Junior 1 requisitos

LLM Engineer

Knows basic LLM scaling concepts: scaling laws, compute-optimal training, emergent abilities. Understands trade-offs between model size and computational resources for different tasks.

Middle 1 requisitos

LLM Engineer

Independently plans scaling strategies: compute budget calculation using scaling laws, model size vs data size selection. Optimizes training and inference costs for 7B-13B parameter models.

Senior 1 requisitos

LLM Engineer

Designs scaling strategy for large LLM: multi-stage scaling plans, Chinchilla-optimal training, progressive training. Optimizes balance between model quality, training cost, and inference latency.

Lead / Staff 1 requisitos

LLM Engineer

Defines scaling standards for the LLM team. Establishes guidelines for compute budgeting, model size selection, cost-benefit analysis. Coordinates scaling decisions for multiple products.

Principal 1 requisitos

LLM Engineer

Shapes enterprise LLM scaling strategy. Defines long-term compute strategy, cloud provider partnerships, and hardware planning. Ensures optimal scaling decisions at organizational level.

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