Perfil de habilidad

Python Programming

Esta habilidad define expectativas en roles y niveles.

Machine Learning & AI Classical Machine Learning

Roles

donde aparece esta habilidad

Niveles

ruta de crecimiento estructurada

Requisitos obligatorios

los otros 10 opcionales

Machine Learning & AI

Classical Machine 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		Writes clean Python code for data science: data processing functions, EDA scripts, simple ML pipelines. Uses list comprehensions, generators, decorators. Works with virtual environments and dependency management via pip/conda.
LLM Engineer		Knows Python basics: data types, functions, classes, modules. Writes scripts for LLM API interaction, text data processing, and basic ML task automation under mentor guidance.

Rol	Obligatorio	Descripción
Data Scientist		Develops production-ready Python code for ML systems. Applies OOP for structuring ML code, type hints for API documentation. Uses dataclasses, pydantic for data validation. Writes modular, testable code with proper error handling.
LLM Engineer		Independently develops in Python for LLM projects: async/await for API calls, dataclasses for configurations, generators for data streaming. Writes unit tests and uses type hints.

Rol	Obligatorio	Descripción
Data Scientist		Designs Python architecture for scalable ML systems. Optimizes performance through profiling, multiprocessing, async/await. Creates reusable packages and libraries for the data science team. Applies advanced patterns: metaclasses, context managers, descriptors.
LLM Engineer		Designs Python applications for LLM: high-performance async servers, memory-efficient data processing, custom PyTorch extensions. Optimizes performance through profiling and concurrency.

Rol	Obligatorio	Descripción
Data Scientist		Defines Python standards for the data science team: code style, architecture patterns, package management. Establishes shared Python infrastructure: internal packages, CI/CD templates, development tools. Conducts ML code architecture reviews.
LLM Engineer		Defines Python standards for the LLM team. Establishes coding guidelines, project structure templates, CI/CD pipeline. Conducts architectural reviews of ML system Python components.

Rol	Obligatorio	Descripción
Data Scientist		Shapes Python engineering strategy for data science organizations. Defines tools and best practices for scaling Python ML development. Evaluates emerging tools (Ruff, uv, Mojo) and plans adoption strategy.
LLM Engineer		Shapes enterprise Python strategy for ML/LLM organizations. Defines approaches to shared libraries, internal PyPI, and Python version management. Mentors leads on advanced Python techniques.

Junior 2 requisitos

Data Scientist

Writes clean Python code for data science: data processing functions, EDA scripts, simple ML pipelines. Uses list comprehensions, generators, decorators. Works with virtual environments and dependency management via pip/conda.
LLM Engineer

Knows Python basics: data types, functions, classes, modules. Writes scripts for LLM API interaction, text data processing, and basic ML task automation under mentor guidance.

Middle 2 requisitos

Data Scientist

Develops production-ready Python code for ML systems. Applies OOP for structuring ML code, type hints for API documentation. Uses dataclasses, pydantic for data validation. Writes modular, testable code with proper error handling.
LLM Engineer

Independently develops in Python for LLM projects: async/await for API calls, dataclasses for configurations, generators for data streaming. Writes unit tests and uses type hints.

Senior 2 requisitos

Data Scientist

Designs Python architecture for scalable ML systems. Optimizes performance through profiling, multiprocessing, async/await. Creates reusable packages and libraries for the data science team. Applies advanced patterns: metaclasses, context managers, descriptors.
LLM Engineer

Designs Python applications for LLM: high-performance async servers, memory-efficient data processing, custom PyTorch extensions. Optimizes performance through profiling and concurrency.

Lead / Staff 2 requisitos

Data Scientist

Defines Python standards for the data science team: code style, architecture patterns, package management. Establishes shared Python infrastructure: internal packages, CI/CD templates, development tools. Conducts ML code architecture reviews.
LLM Engineer

Defines Python standards for the LLM team. Establishes coding guidelines, project structure templates, CI/CD pipeline. Conducts architectural reviews of ML system Python components.

Principal 2 requisitos

Data Scientist

Shapes Python engineering strategy for data science organizations. Defines tools and best practices for scaling Python ML development. Evaluates emerging tools (Ruff, uv, Mojo) and plans adoption strategy.
LLM Engineer

Shapes enterprise Python strategy for ML/LLM organizations. Defines approaches to shared libraries, internal PyPI, and Python version management. Mentors leads on advanced Python techniques.

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