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MLOps Engineer

Also known as: Machine Learning Operations Engineer, AI Infrastructure Engineer, ML Platform Engineer, LLMOps Engineer

AI Impact Score

35/100

MLOps engineers build the infrastructure that makes AI production-ready — a role created by AI and made more valuable by it. Every AI product needs robust training, deployment, and monitoring infrastructure.

$120k – $220k

Salary Range

booming

Growth Outlook

42,000

Total Jobs (US)

+40%

Growth Rate

Task Breakdown

Tasks at Risk (4)

Standard pipeline documentationBasic experiment tracking configurationRoutine model retraining scriptsBoilerplate monitoring dashboards

AI-Enhanced Tasks (4)

Model performance monitoringAutomated retraining triggersExperiment result analysisCost optimization for GPU compute

Human-Safe Tasks (4)

ML platform architecture designComplex debugging of training failuresCross-team AI infrastructure leadershipModel governance system design

Current Skills

PythonDocker/KubernetesMLflow/KubeflowCI/CD for MLCloud ML Services (SageMaker, Vertex AI)

Future-Proof Skills

LLMOpsVector Database ManagementAI Evaluation SystemsAgentic System InfrastructureGPU Resource Optimization

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