AI/ML Ops and Data Engineer
Southlake, TX, United States
USD 186K-270K (estimate) Senior-level Full Time
Tasks
- Add data quality checks
- Architect AI ML systems on GCP
- Build production AI ML use cases
- Configure monitoring and alerting
- Containerize services with Docker
- Deploy models from prototype to production
- Develop Batch and Streaming Pipelines
- Implement CI/CD pipelines
- Improve platform reliability, security, and cost efficiency
- Lead design reviews and enforce engineering standards
- Maintain runbooks for incident response
- Mentor data engineers and MLOps engineers
- Perform data modeling for analytics and operations
- Set coding standards and test strategy
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Auditability | Automated testing | BigQuery | CI/CD | Cloud Composer | Cloud Dataflow | Cloud Monitoring | Cloud Run | Cloud Storage | Cloud logging | Cloud platform | Containerization | Docker | GKE | Git | Google Cloud | Google Cloud Platform | IAM | Incident Response | Least Privilege | Model versioning | Observability | Pipeline monitoring | PubSub | Python | Release pipelines | Reliability Engineering | SQL | Secrets management | Security | Service Level | Service Level Agreements | Service-Level Objectives | Training Serving Integration | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Data Engineer | DevOps | DevOps Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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