MLOps Engineer (SRE) - Remote

Overview

A leading company in Mexico specializing in accounting software is looking for a highly skilled MLOps Engineer (SRE) to join the team.

In Short

• 4+ years of experience as an SRE, DevOps, or Platform Engineer with ML projects.
• Fluent technical English.
• Experience with orchestrators such as Airflow, Kubeflow, or experiment tracking tools (MLflow, Weights & Biases).
• Experience in high-transaction environments such as banking, accounting, payroll, or logistics. (Nice to Have).
• Design and operate observability solutions for ML models in production.
• Develop dashboards and metrics to evaluate model performance, cost, and stability.
• Implement structured logging, drift monitoring, data quality, and inference error tools.
• Collaborate with data science and product teams to detect and mitigate incidents related to models in production.
• Apply SRE practices such as chaos engineering, stress testing, staging testing, and continuous integration.

Requirements

• 4+ years of experience as an SRE, DevOps, or Platform Engineer with ML projects.
• Fluent technical English.
• Experience with orchestrators such as Airflow, Kubeflow, or experiment tracking tools (MLflow, Weights & Biases).
• Experience in high-transaction environments such as banking, accounting, payroll, or logistics. (Nice to Have).
• Knowledge of model monitoring frameworks such as Evidently, Arize AI, WhyLabs, or similar.
• Proficiency in Prometheus, Grafana, ELK/EFK, OpenTelemetry, or Datadog.
• Proficiency in Kubernetes, Docker, Helm, and infrastructure automation tools (Terraform, Pulumi).
• Solid fundamentals in CI/CD for ML pipelines (testing, validation, rollback).

Benefits

• Opportunity to work in a leading company specializing in accounting software.
• Collaborative work environment with data science and product teams.
• Engagement in innovative ML projects.
• Professional development opportunities in MLOps and SRE practices.