Specialist - Data Sciences

Cloud Orchestration Platforms Storage Experience with one of the Below Cloud Platforms Platform Orchestrators Deployment Tools

a Cloud Providers Google Cloud Platform GCP AWS Microsoft Azure

b Orchestration Kubernetes

c Deployment Spinnaker Helm Charts

Data Engineering Technologies Workflow Orchestrations Experience with one of the Below Data Engineering Technologies and Workflow Orchestrators

a Data Pipelines Processing Apache Spark Apache Beam

b Workflow Orchestration Google Cloud Composer Airflow

MLOps Machine Learning Operations

a Model Deployment Monitoring Experience with deploying machine learning models using tools like TensorFlow Serving TorchServe or MLflow

b Model Versioning Experiment Tracking Proficiency in using tools like MLflow DVC or TFX for managing model versions and experiments

c Continuous Integration for ML Implementing CICD pipelines specifically for machine learning models automating training deployment and monitoring workflows

d Scalability Resource Management Understanding of distributed training resource scaling and automated model retraining

DevOps CICD

a CICD Tools GitHub Actions or TeamCity