MLOps Support Engineer: Reliability & Incident Response

INGEPSY; Medellín; Presencial; COP 40.000.000 - 85.000.000; Jornada completa

Descripción de la vacante

CloudFactory is seeking a proactive MLOps Support Engineer to ensure AI/ML systems remain stable in production. You will handle Tier 1 and Tier 2 incidents, triage issues, and coordinate with Tier 3 for engineering escalations.

Role focuses on maintaining model performance, pipeline health, and on-call readiness across Colombia time zones. A strong background in DevOps, SQL, Python, and cloud platforms is essential.

Formación

• Experience in operations, DevOps, SRE, or platform support roles.
• Strong troubleshooting skills in production environments.
• Proficiency in SQL and scripting (Python, Bash) for ML workflows.
• Familiarity with Cloud-hosted systems (AWS, GCP, Azure).
• Knowledge of MLOps tooling and data platforms.

Responsabilidades

• Provide Tier 1 / Tier 2 operational support for AI/ML solutions.
• Identify failed jobs, degraded pipelines, or performance issues.
• Triage incidents and coordinate escalation to Tier 3 Engineering.
• Monitor data pipeline health, model execution, and performance metrics.
• Work with Engineering to improve observability and runbooks.

Conocimientos

Operations experience

DevOps

SRE

Python

SQL

Cloud platforms

Kubernetes

Educación

Computer science background

Herramientas

Grafana

New Relic

Databricks

MLFlow

Descripción del empleo

CloudFactory is seeking a proactive MLOps Support Engineer to ensure AI/ML systems remain stable in production. You will handle Tier 1 and Tier 2 incidents, triage issues, and coordinate with Tier 3 for engineering escalations.

Role focuses on maintaining model performance, pipeline health, and on-call readiness across Colombia time zones. A strong background in DevOps, SQL, Python, and cloud platforms is essential.