Machine Learning Ops Data Engineer
Southlake, TX, United States
USD 183K-266K (estimate) Senior-level Full Time
Tasks
- Add data quality checks and alerting mechanisms
- Create operational runbooks
- Design and build production ML use cases on GCP
- Ensure platform reliability, security, and cost-efficiency
- Implement coding standards and testing strategy
- Lead end to end deployment from prototype to production
- Mentor MLOps and data engineers while coding and delivering
- Resolve technical debt
Perks/Benefits
Skills/Tech-stack
Airflow | Alerting | Audit Logging | Automated testing | BigQuery | CI/CD | Cloud Monitoring | Cloud Run | Cloud Security | Cloud Storage | Cloud logging | Cloud platform | Composer | Data Modeling | Dataflow | Docker | Git | Google Cloud | Google Cloud Platform | Google Cloud Storage | IAM | Incident Response | Kubernetes | Learning operations | Least Privilege | Machine Learning | Machine Learning Operations | Model versioning | Monitoring | Observability | Pipeline monitoring | PubSub | Python | Release pipelines | SLA | SLO | SQL | Secrets management | Vertex AI
Education
N/A
Roles
Data Engineer | DevOps | DevOps Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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