Senior Data Engineer, MLOps [Remote-US]
Tasks
- Design build ML pipelines
- Drive automated remediation
- Implement ML governance
- Implement event driven orchestration for retraining
- Implement testing strategies in CI/CD
- Monitor production models
- Operate real time inference services
- Operationalize data science solutions
- Stand up feature store
Perks/Benefits
- 401k match
- BetterUp Coaching Access
- Dental insurance
- Headspace subscription
- Health insurance
- Life insurance
- LinkedIn Learning subscriptions
- Paid time off
- Parental leave
- Professional development budget
- Remote work
- Vision insurance
- Wellness allowance
Skills/Tech-stack
AWS SageMaker | AWS Step Functions | Bash | Bazel | Blue-Green Deployment | Blue/green | CI/CD | Canary Deployment | Data Validation | Data Versioning | Docker | EKS | Experiment tracking | Infrastructure as Code | Integration Testing | Kafka | MLflow | Machine Learning | Machine learning lifecycle | Model Validation | Performance Testing | Python | Real Time | Real-time Inference | Reproducibility | Snowflake | Snowpark | Step Functions | Terraform | Unit Testing | “as-code”
Education
Roles
Data Engineer | Engineer | MLOps Engineer | Senior Data Engineer
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