MLOps Engineer AWS SageMaker, Terraform

Role: MLOps Engineer AWS SageMaker, Terraform Location: Remote Duration: 6 months Required Skills 4 years MLOps/ML Engineering with 2 years hands-on AWS SageMaker Training jobs, Processing jobs, Pipelines, Model Registry, Endpoints, Clarify, Model Monitor S3, ECR, Lambda, Step Functions, IAM, VPC, CloudWatch, EventBridge Docker, building custom SageMaker containers, inference.py/entrypoint scripts Boto3, SageMaker SDK, pandas, ML frameworks XGBoost, Sklearn, PyTorch, TensorFlowCI/CD & IaC: Git,…