About this role
Design and build end-to-end AI solutions including data pipelines, feature engineering, model training/inference, APIs, web applications, and observability, and integrate LLMs and agentic AI into manufacturing workflows. Deploy and maintain containerized applications using Docker and Kubernetes/OpenShift, contribute to CI/CD and monitoring, and apply Responsible AI practices such as prompt-injection prevention, PII protection, model governance, and audit logging.
Skills for this role
Data ingestionFeature engineeringModel trainingModel inferenceAPIsWeb applicationsObservabilityReactAngularStreamlitPythonFastAPIJavaScriptTypeScriptSQLRelational databasesDockerKubernetesOpenShiftAWSAzureGCPGitHub ActionsCI/CDMonitoringDrift detectionModel evaluationFeedback loop implementationPrompt engineeringRetrieval-Augmented Generation (RAG)