20 publicaciones de empleo destacadas en ai devops engineer (¡Están contratando!)

MLOps Engineer – Level I (Python | GCP/AWS)
Confiz —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Java
Postulación rápida
Software Engineering - DevOps - Mexico
LunarTech —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Preparación de alimentos
Postulación rápida
AI-Native Software Engineering Director (OTE $100,000/year USD), Sparkrock
Ionic Partners —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- ERP systems
DevOps Engineer (Data & AI Platform)
Simplepractice —City, Hgo.
- DevOps
- Python
- Seguro dental
- Seguro de la vista
4d
Lead DevOps BDA Engineer
FICO —Desde casa
- Incluye fines de semana
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Java
DevOps Engineer - Remote in México
Capgemini —Aguascalientes, Ags.
- Home Office (Desde casa)
- DevOps
- Java
- JavaScript
9d
AI Engineer Fellowship - Mexico
LunarTech —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Python
Postulación rápida
DevOps Engineer - Latam
IDT —Desde casa
- Home Office (Desde casa)
- Azure
- Informática
- DevOps
- Programa de referidos
Postulación rápida
Senior Artificial Intelligence DevOps Engineer
Cotiviti —Ciudad de México, CDMX
- Tiempo completo
- Bilingüe
- Azure
- Informática
Cloud Engineer, DBA (Remote LATAM)
Atmosera —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- Informática
Postulación rápida
14d
AI DevOps Engineer
Ingersoll Rand —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
Senior Fullstack Engineer / Team Lead
Codigo MX, Inc —Desde casa
- $100,000 a $120,000 por mes
- Tiempo completo
- Home Office (Desde casa)
- Informática
- DevOps
- Análisis de datos
Postulación rápida
Software Engineer (Platform & Cloud Enablement), Remote, LATAM
ITX Corp —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Negociación
Postulación rápida
9d
Infrastructure & Observability Engineer
SoftwareOne —Polanco IV Sección, CDMX
- Tiempo completo
- Azure
- DevOps
- Mejora continua
Senior Cloud Infrastructure Engineer (Remote LATAM)
Atmosera —Desde casa
- Home Office (Desde casa)
- Bilingüe
- Azure
- Administración de personal
Postulación rápida
Senior AWS Devops Engineer
Coderio —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Liderazgo
Postulación rápida
2d
AI Full Stack Engineer
Data Solutions LLC —Zacatecas
- $21.61 a $84.84 por hora
- Azure
- DevOps
- JavaScript
Postulación rápida
AI Engineer (Full-Stack)
Hire Overseas —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- DevOps
- Experiencia en bases de datos
- Habilidades de comunicación
- Vacaciones adicionales o permisos con goce de sueldo
Postulación rápida
Network DevOps Developer - Ansible
Peraton —Apo, Mich.
- Azure
- Informática
- DevOps
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
12d
Senior AI Copilot & Agent Platform Engineer
Lab49 —City, Hgo.
- Tiempo completo
- DevOps
- Inglés
- Servicios financieros

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MLOps Engineer – Level I (Python | GCP/AWS)

Confiz -
Desde casa

Postulación rápida

Información del empleo

Tiempo completo

Cualificaciones

Looker
Go
Informática
Kubernetes
DevOps
Gestión de servicios de TI
Google Cloud Platform
Tableau
Java
Maestría
SQL
Licenciatura
JavaScript
Seguridad
Python
Debugging

Descripción completa del empleo

We are seeking an MLOps / DevOps Engineer with experience in cloud platforms and machine learning workflows. As part of the Digital Data Science team, you will support the development, automation, and deployment of next-generation ML models and data-driven solutions. Your work will directly impact how machine learning models are built, deployed, and scaled across production environments. You will collaborate closely with Data Scientists and Engineering teams to ensure seamless integration of ML workflows into scalable systems. This role requires a balance of technical skills, problem-solving abilities, and a proactive mindset to deliver efficient and reliable solutions. You will have the opportunity to contribute to high-impact projects for a Fortune 500 client while growing your expertise in modern MLOps practices.

Responsibilities

Building tools for automation around ML workflows orchestration and model deployments using CI/CD workflows
Automating infrastructure deployments and tool configurations using Terraform or similar IaC tools
Writing clean, maintainable and testable code using Python, Go or other object-oriented programming languages (e.g., Java)
Troubleshooting and resolving issues related to ML workflow deployments in production environments
Generating and maintaining operational reporting pipelines using tools such as BigQuery, Looker and Tableau
Collaborating closely with Data Scientists to improve developer workflows and ensure seamless integration with tools
Working cross-functionally with global teams to support ML systems and deployments

Skills:

Hands-on experience with Vertex AI or similar platforms (e.g., Amazon SageMaker)
Understanding of ML models, model deployment, monitoring and scaling in production environments
Proficiency in Python (1-3 years of experience)
Basic experience with GCP or AWS
Experience with Kubernetes or other container orchestration platforms
Familiarity with CI/CD pipelines and infrastructure automation
Basic knowledge of SQL and reporting tools (BigQuery, Looker, Tableau)
Understanding of cloud technologies and distributed systems
Familiarity with security best practices in cloud and containerized environments
Ability to write unit tests and integration tests, delivering clean and reusable code
Strong problem-solving and debugging skills

Nice to Have

Experience with eCommerce / digital platforms
Exposure to Terraform or other Infrastructure as Code tools
Experience working with ML workflows and data pipelines
Familiarity with GenAI tools to optimize and automate processes
Experience collaborating in cross-functional teams (Data Science + Engineering)

Soft Skills

Pragmatism. Ability to prioritize, simplify and focus on delivering results
Proactive mindset. Takes ownership and initiative without needing constant direction
Strong communication skills to collaborate with technical and non-technical stakeholders
Ability to work in a fast-paced, dynamic environment
Attention to detail and strong analytical thinking

Education: B.S. or M.S. degree in Computer Science or comparable experience

We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.

To know more about Confiz Limited, visit https://www.linkedin.com/company/confiz

Postulación rápida

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