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MLOps Engineer
SentraAI
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered 6 days ago
PythonCI/CDML automationDistributed systemsMLflow or Weights & BiasesDocker
Free
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PythonCI/CDML automation
Role Overview
The MLOps Engineer operationalizes, deploys, and governs machine learning and LLM-based systems in production.
The role owns pipelines, deployment patterns, monitoring, and controls for reliable, observable, reproducible, and controllable AI systems.
This is a systems and platform-focused role rather than a research position.
Key Skills for This Role
PythonCI/CDML automationDistributed systemsMLflow or Weights & BiasesDocker
Full Job Posting
Job Summary
The MLOps Engineer operationalizes, deploys, and governs machine learning and LLM-based systems in production.
The role owns pipelines, deployment patterns, monitoring, and controls for reliable, observable, reproducible, and controllable AI systems.
This is a systems and platform-focused role rather than a research position.
LLM and ML Operations
- Build and operate end-to-end ML and LLM pipelines from training through inference.
- Manage model registries, versioning, and promotion workflows.
- Package and deploy models with containerized and cloud-native patterns.
Deployment, Reliability, and Scale
- Design and operate inference services for real-time and batch workloads.
- Implement rollout, rollback, and blue-green deployment strategies.
- Ensure performance, availability, and cost expectations are met.
Observability and Governance
- Monitor model performance, drift, and anomalous behavior.
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