Lead ML Ops Developer
Tasks
- Build and maintain CI CD pipelines for model promotion
- Communicate migration risk and governance trade offs to stakeholders
- Create MLOps golden template patterns
- Define and enforce IAM least privilege policies
- Design and maintain production MLOps platform on AWS SageMaker
- Develop technical documentation and runbooks
- Execute parity testing and migration sign off
- Implement VPC PrivateLink network controls
- Implement drift monitoring and governance gates
- Lead migration of machine learning models to SageMaker
- Manage AWS KMS key management
- Plan and sequence interdependent migration work
- Produce model registry versioning and monitoring
Perks/Benefits
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS CodeBuild | AWS CodePipeline | AWS Glue | AWS Glue Data Catalog | AWS IAM | AWS KMS | AWS Lake Formation | AWS Lambda | AWS Step Functions | Amazon CloudTrail | Amazon CloudWatch | Amazon EMR | Amazon S3 | Amazon SageMaker | Amazon SageMaker Feature Store | CI/CD | Data Catalog | Drift monitoring | Feature Store | GDPR | Git | Glue Data Catalog | IAM least privilege | Infrastructure as Code | KMS | Lake Formation | Least Privilege | Model Drift | Model Monitoring | Model Registry | Model drift monitoring | PII | PrivateLink | PySpark | Python | SageMaker Feature Store | Step Functions | Terraform | VPC | “as-code”
Education
N/A
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