Perfil de habilidad

Neural Network Architectures

Esta habilidad define expectativas en roles y niveles.

Machine Learning & AI Deep Learning

Roles

donde aparece esta habilidad

Niveles

ruta de crecimiento estructurada

Requisitos obligatorios

los otros 10 opcionales

Machine Learning & AI

Deep Learning

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
Data Scientist		Understands basic neural network architectures: MLP, CNN, RNN/LSTM and their applications. Knows components: layers, activations, optimizers, loss functions. Creates simple architectures in PyTorch/Keras for typical classification and regression tasks.
LLM Engineer		Knows main neural network architectures: MLP, CNN, RNN, Transformer. Understands Transformer architecture specifics for language models: self-attention, positional encoding, feed-forward layers.

Rol	Obligatorio	Descripción
Data Scientist		Designs and implements modern architectures: Transformers, U-Net, ResNet, EfficientNet. Applies attention mechanisms, skip connections, residual learning. Selects optimal architecture based on task, data, and production requirements.
LLM Engineer		Independently analyzes and modifies neural network architectures for LLM tasks: adapter layers, custom attention patterns, mixture of experts. Implements architectural modifications in PyTorch.

Rol	Obligatorio	Descripción
Data Scientist		Designs custom architectures for specific business tasks. Applies neural architecture search (NAS), progressive growing, modular design. Optimizes architectures for latency/accuracy trade-off in production deployment.
LLM Engineer		Designs custom neural network architectures for LLM: efficient attention mechanisms, sparse transformers, multi-modal architectures. Conducts ablation studies to optimize architectural decisions.

Rol	Obligatorio	Descripción
Data Scientist		Defines architectural guidelines for the team's deep learning projects. Establishes model zoo with pre-validated architectures. Coordinates research directions and evaluation of new architectural approaches for production use.
LLM Engineer		Defines architectural standards for the LLM team. Establishes architecture selection guidelines, conducts architectural decision reviews, coordinates R&D on new architectures.

Rol	Obligatorio	Descripción
Data Scientist		Shapes neural architecture development strategy for the organization. Defines research direction, evaluates state-of-the-art. Publishes research on new architectures and shapes the organization's scientific leadership.
LLM Engineer		Shapes organizational architectural research strategy. Defines R&D directions for neural architectures, evaluates state-of-the-art approaches, and mentors leads on architectural design.

Junior 2 requisitos

Data Scientist

Understands basic neural network architectures: MLP, CNN, RNN/LSTM and their applications. Knows components: layers, activations, optimizers, loss functions. Creates simple architectures in PyTorch/Keras for typical classification and regression tasks.
LLM Engineer

Knows main neural network architectures: MLP, CNN, RNN, Transformer. Understands Transformer architecture specifics for language models: self-attention, positional encoding, feed-forward layers.

Middle 2 requisitos

Data Scientist

Designs and implements modern architectures: Transformers, U-Net, ResNet, EfficientNet. Applies attention mechanisms, skip connections, residual learning. Selects optimal architecture based on task, data, and production requirements.
LLM Engineer

Independently analyzes and modifies neural network architectures for LLM tasks: adapter layers, custom attention patterns, mixture of experts. Implements architectural modifications in PyTorch.

Senior 2 requisitos

Data Scientist

Designs custom architectures for specific business tasks. Applies neural architecture search (NAS), progressive growing, modular design. Optimizes architectures for latency/accuracy trade-off in production deployment.
LLM Engineer

Designs custom neural network architectures for LLM: efficient attention mechanisms, sparse transformers, multi-modal architectures. Conducts ablation studies to optimize architectural decisions.

Lead / Staff 2 requisitos

Data Scientist

Defines architectural guidelines for the team's deep learning projects. Establishes model zoo with pre-validated architectures. Coordinates research directions and evaluation of new architectural approaches for production use.
LLM Engineer

Defines architectural standards for the LLM team. Establishes architecture selection guidelines, conducts architectural decision reviews, coordinates R&D on new architectures.

Principal 2 requisitos

Data Scientist

Shapes neural architecture development strategy for the organization. Defines research direction, evaluates state-of-the-art. Publishes research on new architectures and shapes the organization's scientific leadership.
LLM Engineer

Shapes organizational architectural research strategy. Defines R&D directions for neural architectures, evaluates state-of-the-art approaches, and mentors leads on architectural design.

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