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CBTS · Cincinnati, Ohio
Cincinnati, OH - OnsitePay Rate: $70-80/hour on W2, client will not consider C2CRequired QualificationsExperience5+ years of experience in Machine Learning Engineering, MLOps, Data Engineering, or Software Engineering.3+ years of experience building and supporting production machine learning systems.Demonstrated experience implementing end-to-end machine learning lifecycle management.Experience operating ML workloads in cloud environments (AWS, Azure, or GCP).Experience supporting both batch and real-time machine learning solutions.Experience working with large-scale structured and unstructured data.Required Technical SkillsMachine Learning & MLOpsML lifecycle managementModel deployment and orchestrationExperiment tracking and model versioningModel monitoring and observabilityFeature Store architectureModel Registry implementationAutomated retraining workflowsResponsible AI and model governance practicesCloud PlatformsExperience with one or more:AWS SageMakerAzure Machine LearningGoogle Vertex AIProgrammingProficiency in:Python (required)SQL (required)Java, Scala, or R (preferred)Data PlatformsExperience with:SnowflakeDatabricksIBM DB2 or equivalent enterprise RDBMS platformsData lakes and modern cloud storage platformsData TransformationExperience with:dbtSparkPandasPySparkDevOps & InfrastructureExperience with:Git/GitHub/GitLabJenkins, GitHub Actions, Azure DevOps, or equivalent CI/CD toolsTerraform or infrastructure-as-code frameworksLinux administrationShell scriptingContainers & OrchestrationExperience with:DockerKubernetesOpenShift (preferred)Streaming & Real-Time TechnologiesExperience with:Apache KafkaEvent-driven architecturesReal-time inference pipelinesMonitoring & ObservabilityExperience with:PrometheusGrafanaELK StackCloud-native monitoring solutions
Package Driver
United Parcel Service · Biddeford, Maine
Details
| Company | CBTS |
| Location | Cincinnati, Ohio |
| Type | FULL TIME |
| Niche | 23 |