AI/ML Ops and Data Engineer
Southlake, TX, United States
USD 186K-270K (estimate) Senior-level Full Time
Tasks
- Add data quality checks and alerting mechanisms
- Create coding standards and test strategy
- Design production AI ML security use cases on GCP
- Ensure platform reliability, security, and cost-efficiency
- Implement quality gates for releases
- Lead end to end deployment prototype to production
- Maintain operational runbooks
- Mentor MLOps and data engineers while coding
- Resolve technical debt
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Auditability | Automated testing | BigQuery | CI/CD | Cloud Composer | Cloud Monitoring | Cloud Run | Cloud Security | Cloud Storage | Cloud logging | Cloud platform | Data Modeling | Dataflow | Docker | GKE | Git | Google Cloud | Google Cloud Platform | Google Cloud Storage | IAM | Incident Response | Least Privilege | Machine Learning | Machine learning lifecycle | Model versioning | Observability | Pipeline monitoring | Pub/Sub | Python | Release pipelines | Reliability Engineering | SLA | SLO | SQL | Secrets management | Training Serving Integration | Vertex AI
Education
N/A
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