Key skills
SQLMLPyTorchPandasMLOpsXGBoostAWSTerraformDockerJenkinsCloudFormationLambdaS3IAMCloudWatchGlueAthenaSageMakerCodePipelineGit
About this role
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, CodePipeline/Jenkins, Terraform or CloudFormation
- SQL, Athena, Glue, Feature Store, Parquet