Senior MLOps Engineer: Build Scalable AI Platform

Salvo Software LLC; México; Presencial; MXN 900.000 - 1.300.000; Tempo integral

Resumo da vaga

Salvo Software LLC in Mexico seeks a Senior MLOps Engineer to design, build, and own the infrastructure behind machine learning and LLM-powered systems. You will create a reliable path from experimentation to production: training pipelines, model registries, automated deployment, scalable inference, and monitoring for cloud, on-prem, and air-gapped environments.

This is a senior, hands-on role. You’ll define MLOps standards, shape platform architecture, and guide AI Developers and RAG Engineers

Qualificações

• 5+ years in senior DevOps/SRE/platform engineering
• Deployment of ML models and LLM inference engines in production
• Proficiency with Linux, Docker, Kubernetes, virtualization, GPU infra, and major clouds
• Hands-on Infra as Code (Terraform, Ansible) and CI/CD (GitHub Actions, Azure DevOps)
• Strong networking, monitoring, security/authentication, and API gateway concepts
• Familiarity with ML tooling and RAG/agent frameworks, workflow orchestration, model optimization

Responsabilidades

• Design, deploy, and operate MLOps platform infrastructure across cloud and on-prem
• Build automated CI/CD pipelines, IaC, and monitoring for RAG apps and production deployments
• Provide technical leadership and establish reusable infrastructure templates

Conhecimentos

Linux

Security

Networking

Python scripting

Bash

Ferramentas

Docker

Kubernetes

Terraform

Ansible

GitHub Actions

Azure DevOps

Prometheus

Grafana

Ollama

vLLM

MLflow

Kubeflow

Airflow

Kafka

Descrição da vaga

Salvo Software LLC in Mexico seeks a Senior MLOps Engineer to design, build, and own the infrastructure behind machine learning and LLM-powered systems. You will create a reliable path from experimentation to production: training pipelines, model registries, automated deployment, scalable inference, and monitoring for cloud, on-prem, and air-gapped environments.

This is a senior, hands-on role. You’ll define MLOps standards, shape platform architecture, and guide AI Developers and RAG Engineers