Job Description
About the role:
The MLOps Support Engineer is an operations-first role, focused on ensuring AI/ML systems remain stable, observable, and supportable in production environments. This is not a data science or feature development role.
The primary objective is to maintain continuous performance of ML models and associated pipelines with minimal disruption to both internal and client-facing services. You will provide Tier 1 and Tier 2 support, escalating to Tier 3 Engineering as needed.
What you'll do:
Provide Tier 1 / Tier 2 operational support for AI/ML solutions
Identify failed jobs, degraded pipelines, or performance anomalies
Triage incidents, investigate issues, and coordinate escalation to Tier 3 Engineering
Participate in on-call rotas once established
Validate that pipelines and jobs complete successfully
Monitor data pipeline health, model execution, and basic performance metrics
Identify operational issues before they impact customers
Respond or ...
The MLOps Support Engineer is an operations-first role, focused on ensuring AI/ML systems remain stable, observable, and supportable in production environments. This is not a data science or feature development role.
The primary objective is to maintain continuous performance of ML models and associated pipelines with minimal disruption to both internal and client-facing services. You will provide Tier 1 and Tier 2 support, escalating to Tier 3 Engineering as needed.
What you'll do:
Provide Tier 1 / Tier 2 operational support for AI/ML solutions
Identify failed jobs, degraded pipelines, or performance anomalies
Triage incidents, investigate issues, and coordinate escalation to Tier 3 Engineering
Participate in on-call rotas once established
Validate that pipelines and jobs complete successfully
Monitor data pipeline health, model execution, and basic performance metrics
Identify operational issues before they impact customers
Respond or ...
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