MLOps Engineering Specialist
Tasks
- Apply security by design with IAM least privilege
- Build scalable inference with real time and serverless endpoints
- Configure SageMaker resources in VPC
- Deploy SageMaker training pipelines
- Design end-to-end MLOps workflows
- Detect drift and evaluate performance
- Generate model performance reporting
- Implement automated retraining triggers
- Implement model monitoring and alerting
- Implement observability with logs, metrics, traces
- Manage features with SageMaker Feature Store
- Orchestrate model training and experiments
- Promote models across environments
- Track lineage with SageMaker Experiments
- Use Infrastructure as Code to provision resources
- Version models with SageMaker Model Registry
Perks/Benefits
- Discounted mobile and broadband
- Gym membership discounts
- Holiday purchase scheme
- Online GP service
- Paid Maternity Leave
- Paid adoption leave
- Paid carer’s leave
- Paid paternity leave
- Pension plan
- Private medical insurance
Skills/Tech-stack
AWS | AWS CDK | AWS CloudFormation | AWS Glue | Alerting | Amazon ECR | Amazon SageMaker | CI/CD | Distributed tracing | Docker | Drift Detection | ECR | Feature Store | IAM | Lambda | MLOps | Model Drift | Model Drift Detection | Model Monitoring | Model Registry | Monitoring | OpenTelemetry | S3 | Sagemaker Pipelines | Serverless | Step Functions | Terraform | VPC
Education
N/A
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