20 publicaciones de empleo destacadas de ai / ml engineer en centro (área 1), dif (¡Están contratando!)

Software Engineer (Platform & Cloud Enablement), Remote, LATAM
ITX Corp —Ciudad de México, CDMX
- $4,200 a $7,900 por mes
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Negociación
Postulación rápida
0152 - Data & Analytics Engineer Mid
ALTEN MÉXICO —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Ingeniería
- Inglés
- SQL
Postulación rápida
Data Analyst (Machine Learning)
Sovos Compliance —Ciudad de México, CDMX
- Inglés
- Experiencia en bases de datos
- SQL
Postulación rápida
8d
Data Engineer II, DASH Device Operations
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Preparación de alimentos
- Java
Data scientist
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Inglés
- SQL
Staff Software Engineer (Backend) - Fable Core
Scribd, Inc. —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- CAD
- Java
- JavaScript
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Senior IT Engineer - Endpoint Engineering
Nubank —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Informática
- DevOps
- Seguro dental
- Seguro de la vista
Postulación rápida
9d
Senior Software Engineer, Privacy
Lyft —Ciudad de México, CDMX
- Inglés
- Investigación
- Java
Senior Manager Information Technology
Nestlé IT —Granada, CDMX
- Tiempo completo
- Azure
- Informática
- PMP
3d
Lead AI Forward Engineer
Thomson Reuters —Ciudad de México, CDMX
- Tiempo completo
- Azure
- DevOps
- Python
Expert Data Scientist
Nestlé —Granada, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
3d
Network Operation Engineer
Share —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Inglés
- Linux
- Python
Postulación rápida
Platform Engineer
Alcor —Ciudad de México, CDMX
- DevOps
- SQL
- Python
Postulación rápida
Site Reliability Engineer
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
Postulación rápida
DevOps Engineer (Data & AI Platform)
SimplePractice —Ciudad de México, CDMX
- $1,124,480 a $1,405,600 por año
- DevOps
- Python
- Seguro dental
- Seguro de la vista
Postulación rápida
7d
Forward Deployed Engineer
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
Postulación rápida
Senior Specialist Technology Solutions
Nestlé —Granada, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática
3d
Data Engineer
Zurich Insurance —Ciudad de México, CDMX
- Azure
- Seguro de vida
7d
EHSS Platform Engineer
Takeda Pharmaceutical —Cuajimalpa, CDMX
- Tiempo completo
- Administración de personal
- Informática
- Inglés
- Seguro dental
- Seguro de la vista
Senior Software Engineer
Zendesk —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Administración de personal
- Informática

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Software Engineer (Platform & Cloud Enablement), Remote, LATAM

ITX Corp -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Tiempo completo
$4,200 a $7,900 por mes

Cualificaciones

Azure
Ingeniería de software
Kubernetes
DevOps
Git
Google Cloud Platform
Negociación

Descripción completa del empleo

ITX is looking for a Software Engineer (Platform & Cloud Enablement) in LATAM!

We’re looking for a Software Engineer with strong platform and cloud experience to join our AI Platforms team.

This isn’t a traditional DevOps role—but it’s also not a purely application-focused engineering position. Instead, you’ll be working right in between: building the internal tooling, automation, and infrastructure workflows that enable our AI engineering teams to move faster.

Your main focus will be to improve how teams onboard, access, and use platform resources, especially in the context of AI services. You’ll work primarily in Azure (with some GCP/AWS exposure), helping us scale a reliable and developer-friendly platform.

If you enjoy building systems that other engineers rely on—and care about developer experience, automation, and clean solutions—this role might be a great fit.

Note: This position is exclusively available for candidates based in LATAM. Applicants from other regions will not be considered.

What you’ll be doing

Design and build self-service workflows that allow internal teams to easily access platform resources

Develop automation around infrastructure and onboarding using tools like Cortex.io

Contribute to platform tooling that supports AI-related use cases and services

Work with Azure infrastructure (AKS, Azure Container Apps, networking, databases, etc.) to ensure scalability and reliability

Automate deployments and infrastructure using Terraform and GitHub Actions

Integrate platform workflows with external tools and services (e.g., Snowflake, Astronomer, Kong)

Improve observability across the platform (Prometheus, Grafana, Splunk, OpenTelemetry)

Support CI/CD integrations and overall platform reliability

Troubleshoot and provide hands-on support when needed

Collaborate closely with other engineers and mentor teammates when relevant

What we’re looking for

+5 years of experience in software engineering, platform engineering, or related roles

Strong experience working with cloud environments (Azure preferred)

Hands-on experience with infrastructure as code (Terraform) and automation workflows

Solid understanding of Kubernetes and container-based architectures

Experience working in complex, distributed systems

Comfortable writing code and working at the infrastructure/platform layer

Experience with Git and collaborative development workflows

Ability to work autonomously while staying aligned with the team

Experience building internal tools, developer platforms, or self-service solutions is a big plus

Nice to have

Exposure to AI/ML platforms or workflows

Experience with Cortex.io or similar developer portals

Familiarity with tools like Snowflake, Airflow, or Astronomer

Experience with API gateways (Kong)

Multi-cloud experience (GCP/AWS)

ITX’s Compensation Philosophy

Equality in compensation has been our practice since ITX started in 1997.

ITX believes that market-based pay ensures fair and equitable compensation for our worldwide team members and pay that is based on the market, not on who has the best negotiation skills. At ITX, you’ll never discover that someone in the same job with the same experience makes more than you, or that there are pay gaps based on race, gender, disability, or age.

How do our team members experience market-based pay at ITX? We gather market data to benchmark each position in our candidates’ and team members’ locations and use these benchmarks for candidate offers and to perform regular compensation reviews for our team members. You’ll never have to worry about asking for a pay raise again. At least once a year ITX automatically adjusts pay when the benchmark is higher than our team member’s compensation.

In LATAM the pay range for the Software Engineer (Platform & Cloud Enablement) role is $4,200 to $7,900 monthly, depending on experience, specific skills and certifications, and education. Based on your location in LATAM pay ranges could be adjusted according to local market data, which can vary from country to country. This variation percentage could be 16% lower or 14% higher.

Do you have questions about ITX’s compensation practices? Let us know! We’re proud of how we do compensation at ITX and welcome the opportunity to share more.

This role was posted by ITX on June 11th, 2026.

Postulación rápida

Refina tu búsqueda

ai / ml engineer empleos en centro (área 1), dif

Software Engineer (Platform & Cloud Enablement), Remote, LATAM

0152 - Data & Analytics Engineer Mid

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Data Engineer II, DASH Device Operations

Data scientist

Staff Software Engineer (Backend) - Fable Core

Senior IT Engineer - Endpoint Engineering

Senior Software Engineer, Privacy

Senior Manager Information Technology

Lead AI Forward Engineer

Expert Data Scientist

Network Operation Engineer

Platform Engineer

Site Reliability Engineer

DevOps Engineer (Data & AI Platform)

Forward Deployed Engineer

Senior Specialist Technology Solutions

Data Engineer

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Senior Software Engineer

Quiero recibir la alerta de empleo más reciente para ai / ml engineer en centro (área 1), dif

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