Data Engineering & Workflow Orchestration
Cloud Orchestration Platforms Storage
- Experience with one of the Below Cloud Platforms Platform Orchestrators Deployment Tools
- Cloud Providers Google Cloud Platform GCP AWS Microsoft Azure
- Orchestration Kubernetes
- Deployment Spinnaker Helm Charts
Data Engineering Technologies Workflow Orchestrations
Experience with one of the Below Data Engineering Technologies and Workflow OrchestratorsData Pipelines Processing Apache Spark Apache BeamWorkflow Orchestration Google Cloud Composer AirflowMLOps Machine Learning OperationsModel Deployment Monitoring. Experience with deploying machine learning models using tools like TensorFlow, Serving TorchServe or MLflowModel Versioning Experiment Tracking Proficiency in using tools like MLflow, DVC or TFX for managing model versions and experimentsContinuous Integration for ML Implementing CICD pipelines specifically for machine learning models automating training deployment and monitoring workflowsScalability Resource Management Understanding of distributed training resource scaling and automated model retrainingDevOps CICDCICD Tools GitHub Actions or TeamCity#J-18808-Ljbffr