Remote Python AI/ML Engineer — Backend Architect

BairesDev; Veracruz; A distancia; MXN 2.036.000 - 3.054.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Competitive USD (or local currency)

Descripción de la vacante

BairesDev is seeking a Senior Python AI/ML Engineer to design and build scalable AI/ML solutions on leading cloud platforms. This backend-focused role requires strong Python, Django/Flask, and production-grade systems development, with hands-on cloud experience.

You will deploy ML models on AWS and Google Cloud, work with LLM services, and collaborate with cross-functional teams to deliver robust AI applications in a 100% remote environment.

Formación

• 8-9 years of IT experience.
• 6-7 years of Python backend development with Django or Flask.
• 2-3 years of AWS experience.
• 1-2 years of Google Cloud Platform or BigQuery experience.
• 1-2 years of Google Cloud AI Platform (Vertex AI, AutoML, or similar).
• SQL experience with PostgreSQL.
• 1+ year of recent LLM/AI experience.
• Advanced level of English.

Responsabilidades

• Design and develop AI/ML solutions using Python with Django or Flask frameworks.
• Build and deploy machine learning models on AWS and Google Cloud Platform.
• Implement and optimize AI workflows using Google Cloud AI Platform and related services.
• Develop scalable backend systems that integrate with LLM and AI services.
• Collaborate with cross-functional teams to deliver production-ready AI applications.

Conocimientos

Python backend development

Django/Flask

AWS

Google Cloud Platform

SQL (PostgreSQL)

LLM/AI experience

English proficiency

Herramientas

AWS

Google Cloud Platform

Vertex AI/AutoML

Descripción del empleo

BairesDev is seeking a Senior Python AI/ML Engineer to design and build scalable AI/ML solutions on leading cloud platforms. This backend-focused role requires strong Python, Django/Flask, and production-grade systems development, with hands-on cloud experience.

You will deploy ML models on AWS and Google Cloud, work with LLM services, and collaborate with cross-functional teams to deliver robust AI applications in a 100% remote environment.