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MLOps Support Team Lead

CloudFactory · Nairobi

🇬🇧 English
MLOps monitoring observability incident management root cause analysis

Job description

About the role

The MLOps Support Team Lead owns the day‑to‑day reliability, supportability, and operational maturity of CloudFactory’s MLOps service. This role leads a global L1/L2 support team, works closely with Engineering and Platform Ops, and ensures AI/ML solutions are stable, measurable, and trusted in production.

Key responsibilities

  • Own operational performance of all production ML systems and pipelines, establishing SLAs, SLOs, and standards.
  • Lead a global support team across regions, defining shift patterns, on‑call rotations, and performance metrics.
  • Manage incident response, communication, and resolution, delivering high‑quality root‑cause analyses and corrective actions.
  • Drive implementation and evolution of monitoring, observability, and maturity across pipelines, infrastructure, compute, and model performance.

Required profile

  • Proven experience leading technical support teams in a global, multi‑region environment.
  • Strong background with production‑grade ML systems, pipelines, and data flows.
  • Ability to define and enforce operational standards, SLAs, and SLOs.
  • Excellent incident management and problem‑solving skills, with a focus on continuous improvement.

Required skills

  • MLOps
  • ML pipelines
  • Monitoring
  • Observability
  • Incident management
  • Root cause analysis

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Published 4 months ago

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CloudFactory

Nairobi