End-to-end training and inference pipelines, model deployment, monitoring (data/concept drift detection), automated retraining, and Feature Store management using
AWS SageMaker, MLflow, Kubeflow, or Databricks
.
- Cloud &
- Infrastructure:
Hands-on AWS infrastructure automation (SageMaker, Lambda, S3, ECS, IAM, RDS) and container orchestration using
Docker, Kubernetes / EKS
.
- Infrastructure as Code (IaC):
Solid hands-on provisioning using
Terraform and
CloudFormation (CFT)
.
- CI/CD &
- Scripting:
Building and automating robust CI/CD workflows using