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Machine Learning Ops Engineer at VirtualVocations

VirtualVocations Columbus, Ohio

Job Description

A company is looking for a Machine Learning Ops Engineer.Key ResponsibilitiesDesign and implement AI cost tracking and observability frameworks across Azure, Google Cloud, and SnowflakeCollaborate with cross-functional teams to integrate cost and performance monitoring into CI/CD pipelinesWork directly with the Chief Data Officer to ensure ML and AI systems produce accurate data for business decisionsRequired QualificationsAt least 5 years of experience in MLOps, DevOps, or Cloud Engineering with a focus on AI or ML systemsStrong experience with Azure ML, Google Vertex AI/Gemini, or OpenAI ServiceAdvanced skills in Python and SQL, including stored proceduresExperience with observability tools like Datadog for latency and drift monitoringUnderstanding of FinOps principles, cloud billing APIs, and cost optimization

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