Supporting big client with AWS Data Engineering & MLOps side
requirements-expected :
Good Grasp on MLOps concepts: Model Training, Feature Engineering, Model Registration, Endpoint Deployment, Batch Inference, Model Monitoring, Data Drift
Experience in MLOps implementation using SageMaker, lambdas, docker and yaml, API gateways
Knowledge of GitLab, GitLab CI pipelines, artifact scanning, checking vulnerabilities, creating and managing APIs
Strong hands-on experience with AWS CDK (Python)
benefits :
sharing the costs of foreign language classes
sharing the costs of professional training & courses
