Senior AI Observability Engineer

VirtualVocationsOxnard, California, United States

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A company is looking for a Senior AI Observability Engineer to lead the observability strategy for AI / ML systems and features.

Key Responsibilities

Lead end-to-end observability design for AI / ML features in production and internal usage

Instrument AI features for latency, accuracy, drift, usage, and cost monitoring

Collaborate with cross-functional teams to define and automate quality SLIs / SLOs for models

Required Qualifications

6+ years in Site Reliability Engineering, Observability Engineering, or ML Ops focused on AI / ML systems

Deep experience in instrumenting AI pipelines for observability, including drift detection

Hands-on experience with OpenTelemetry, Datadog, and similar tools

Proficiency with Python, Go, or similar programming languages

Strong understanding of ethical AI practices and responsible telemetry instrumentation

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