20 publicaciones de empleo destacadas de ai platform engineer en anzures, dif (¡Están contratando!)

DevOps Engineer (Data & AI Platform)
SimplePractice —Ciudad de México, CDMX
- DevOps
- Python
- Seguro dental
- Seguro de la vista
Postulación rápida
3d
Machine Learning Engineer Intern (100% Remote Worldwide)
Tether Operations Limited —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- Doctorado
- Informática
AI Solutions Engineer (Document Intelligence & Generative AI) - Remote Bilingual
Towa —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Bilingüe
- Azure
- Inglés
Postulación rápida
15h
AI Platform Engineer
Salesforce —Ciudad de México, CDMX
- Tiempo completo
- Administración de personal
- Salesforce
- Experiencia en bases de datos
Forward Deployed Engineer
Growth Protocol —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
Postulación rápida
1d
AI Engineer
Darwin AI —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Inglés
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Copy of AI Code Reviewer & Systems Evaluation Engineer 2
Lifted, an Upwork Company™ —Ciudad de México, CDMX
- Home Office (Desde casa)
- Java
- Experiencia en bases de datos
- SQL
Postulación rápida
Machine Learning Engineer
Key Prediction —Ciudad de México, CDMX
- $40,000 a $45,000 por mes
- Tiempo completo
- Trabajo híbrido
- Azure
- Informática
- Maestría
Postulación rápida
9d
Junior LLM / Agents Engineer - Systematic Commodities Hedge Fund
Moreton Capital Partners —Ciudad de México, CDMX
- $600,000 a $1,200,000 por año
- Tiempo completo
- Licenciatura
- Python
Postulación rápida
AI Product Engineer - Agentic AI Platforms (Financial Services)
Capgemini —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Licenciatura
- Desarrollo de software
- Python
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Research Engineer Intern (Multimodal LLM)
Tether Operations Limited —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Doctorado
- Informática
- Inglés
Machine Learning Engineer, Applied AI (Hybrid)
SimplePractice —Ciudad de México, CDMX
- Home Office (Desde casa)
- Administración de personal
- Informática
- DevOps
- Seguro dental
- Seguro de la vista
Postulación rápida
4d
AI / ML Engineer
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Data Scientist/Engineer - Early Career
Shift Technology —Ciudad de México, CDMX
- Tiempo completo
- Licenciatura
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
13d
AI First Machine Learning Engineer
PALO IT —Ciudad de México, CDMX
- Azure
- Inglés
- Python
Postulación rápida
Data Scientist - Life Sciences AI / ML
Zifo —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Doctorado
- Inglés
- Maestría
Postulación rápida
7d
Senior Data Engineer - AI & ML Enablement
Solventum —Ciudad de México, CDMX
- Tiempo completo
- Azure
- Informática
- Inglés
Fullstack AI Software Engineer - LATAM
Futureproofing —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- JavaScript
- Python
Full Stack Software Engineer
Qualifinds —Ciudad de México, CDMX
- $70,000 a $90,000 por mes
- Tiempo completo
- Inglés
- Disponible para viajar
- Python
- Trabajo desde casa
Postulación rápida
AI First Data Engineer
PALO IT —Ciudad de México, CDMX
- Azure
- DevOps
- Inglés
Postulación rápida

Quiero recibir la alerta de empleo más reciente para ai platform engineer en anzures, dif

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DevOps Engineer (Data & AI Platform)

SimplePractice -
Ciudad de México, CDMX

Postulación rápida

Información del empleo

Hace 3 días

Beneficios

Seguro dental
Seguro de la vista

Cualificaciones

Derecho
Kubernetes
Tooling
DevOps
Spark
Git
Bash
Docker
Kafka
Python
Shell Scripting

Descripción completa del empleo

DevOps Engineer (Data & AI Platform)

Role Summary

We are hiring a DevOps Engineer to support and scale our Data and AI platform in production. This role focuses on building reliable infrastructure for data pipelines and ML systems, standardizing deployment patterns, and ensuring performance, observability, and cost efficiency across compute-intensive workloads.

Responsibilities

Build and operate infrastructure for data pipelines and AI/ML workloads
Develop and maintain CI/CD for application and model lifecycle (build, train, deploy)
Manage Infrastructure as Code (Terraform) across environments
Support containerized workloads and orchestration (Docker, Kubernetes)
Partner with Machine Learning teams and engineering to productionize models
Implement monitoring, logging, and tracing for data flow and model performance
Improve reliability, scalability, and cost efficiency of data systems
Enforce security and access controls for data and infrastructure
Reduce operational overhead through automation and tooling

Required Qualifications

3+ years of experience in DevOps, SRE, or infrastructure engineering
End-to-End MLOps/LLMOps Expertise: Experience deploying and maintaining ML/AI workflows. Familiarity with the unique nature of promoting AI assets (models, datasets, and code) through the lifecycle.
Strong cloud experience (AWS preferred)
Proficiency with Terraform (or similar IaC tools)
Experience with Docker and Kubernetes
Familiarity with CI/CD and Git-based workflows
Experience supporting data platforms (e.g., Airflow, Kafka, Spark, or similar)
Programming/scripting (Python, Bash, or similar)
Experience with observability tools and practices

Preferred Qualifications

Experience with MLOps tooling (e.g., MLflow, SageMaker, Kubeflow)
Familiarity with LLM-based systems and AI observability(token usage tracking, prompt versioning) and evaluation loops
Experience with real-time or high-throughput data systems
Exposure to security and compliance requirements (e.g., SOC 2, HIPAA)
Experience with specific MLOps tooling (Outerbounds, SageMaker, Metaflow) and vector database

Benefits

We offer a competitive benefits program including:

Privatized Medical, Dental & Vision Coverage
Work From Home stipend
Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
Monthly Meal Reimbursement
Holiday Bonus, 15-day Aguinaldo
Hybrid Work Schedule & Catered Lunch
A relocation bonus for candidates joining us from a different city
Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC ("SimplePractice" or "us" or "we" or "our"). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices, please contact us at [email protected].

Notice to Candidate:

SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages.

All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, [email protected] or no‑[email protected] email addresses.

Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.

Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

Postulación rápida

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Quiero recibir la alerta de empleo más reciente para ai platform engineer en anzures, dif

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DevOps Engineer (Data & AI Platform)

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Required Qualifications

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Benefits

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