Role: MLOps Engineer AWS SageMaker, Terraform Location: Remote Duration: 6+ months Required Skills 4+ years MLOps/ML Engineering with 2+ years hands-on AWS SageMakerTraining jobs, Processing jobs, Pipelines, Model Registry, Endpoints, Clarify, Model MonitorS3, ECR, Lambda, Step Functions, IAM, VPC, CloudWatch, EventBridgeDocker, building custom SageMaker containers, inference.py/entrypoint scriptsBoto3, SageMaker SDK, pandas, ML frameworks XGBoost, Sklearn, PyTorch, TensorFlowCI/CD & IaC: Git, C