About this role
Responsible for foundational platform capabilities that power AI and machine learning delivery across Mercedes‑Benz USA, designing, building, and operating shared AI/ML infrastructure, deployment pipelines, model lifecycle tooling, and reusable engineering services to enable data scientists, AI engineers, and business teams. The role supports classical ML, generative AI, agent-based solutions, and enterprise-scale analytics workloads and focuses on platform reliability, scalability, security, observability, and cost optimization.
Skills for this role
PythonSQLPySparkDistributed data processing frameworksAzure DatabricksUnity CatalogDelta LakeMLflowFeature StoreModel ServingAzureAWSModel deployment pipelinesModel registry managementExperiment trackingMonitoringLifecycle managementCI/CDWorkflow orchestrationProduction AI platform operationsInference optimizationScalable AI infrastructureDockerKubernetesInfrastructure as CodeCloud-native deployment architecturesGPU-enabled workloadsDistributed compute environmentsEnterprise-scale platform operationsEvent-driven architectures」「Streaming technologies