MLops Engineer (Sre)

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

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 and Skills:

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).

Responsibilities:

Design and operate observability solutions for ML models in production (monitoring, alerts, traceability).
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.

Mlops Engineer (SRE) - Remote Eligible