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MLOps Engineer AWS SageMaker, Terraform
Cobalt Streamworks · Remote · Posted 14d ago
About the role
Implement MLOps solutions using AWS SageMaker and Terraform for machine learning projects.
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
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FAQ
Is the MLOps Engineer AWS SageMaker, Terraform role at Cobalt Streamworks remote?+
This MLOps Engineer AWS SageMaker, Terraform position is listed as remote (Remote).
What is the salary for the MLOps Engineer AWS SageMaker, Terraform role at Cobalt Streamworks?+
The listing states $50 - $55.
What seniority level is this MLOps Engineer AWS SageMaker, Terraform role?+
This is a unknown level position.
How do I apply for the MLOps Engineer AWS SageMaker, Terraform role at Cobalt Streamworks?+
Use the "Apply on dice" button to open the original posting on dice, where you can submit your application directly to Cobalt Streamworks.