AIOps, LLMOps, MLOps (Machine Learning Operations) DevOps SRE Engineer
Core
Implements automated pipelines and observability for AI model training, deployment, and evaluation; drives AIOps-based reliability, model retraining triggers, and guardrail enforcement.
Role type
Senior IC MLOps/LLMOps/AIOps DevOps SRE Engineer
Builds
AI/ML pipelines, observability stacks, and reliability infrastructure for training, inference, and evaluation
Domain
Enterprise IT services, AI/ML operations, cloud infrastructure
Deliverable
production ML models | infrastructure
Required skills
AI/ML pipeline orchestration, MLOps/LLMOps/AIOps frameworks, observability and telemetry integration, automated incident detection and remediation, data governance, DevSecOps principles, SLO definition, AI-driven diagnostics
Preferred skills
Kubeflow, MLflow, Airflow, Azure ML, Promptfoo, Portkey, RAG validation
Technologies
Kubeflow, MLflow, Airflow, Azure ML, Promptfoo, Portkey
Responsibilities
Orchestrate AI/ML pipelines and automate model lifecycle; integrate observability and telemetry for AI systems; implement automated incident detection and remediation; enforce model guardrails and version control; establish monitoring baselines and SLOs for AI workloads; integrate AIOps-driven diagnostics to reduce MTTD/MTTR
Seniority
Senior, hands-on IC