Senior AI/ML Data Engineer
Frisco, TX, United States
R
USD 162K-226K (estimate) Senior-level Full Time
Tasks
- Architect batch and streaming data pipelines
- Build layered data models and semantic layers
- Collaborate with data scientists to operationalize models
- Contribute to LLM assistants and RAG systems
- Convert notebooks to production Python packages
- Deploy and manage training and inference workflows
- Develop BQML use cases
- Implement CI CD model versioning and rollback
- Implement data quality observability lineage and schema governance
- Implement real time event driven inference and streaming features
- Implement retrieval and generation workflows
- Monitor model drift and performance
- Optimize BigQuery performance and cost
- Participate in architecture reviews and mentor engineers
- Partner with product and analytics teams to define success metrics
Perks/Benefits
Skills/Tech-stack
AWS | Apache Airflow | BigQuery | CI/CD | Cloud Composer | Cloud Run | Clustering | DBT | Data Lineage | Dataflow | Drift Detection | Evidently | GCP | Google Cloud | Google Cloud Run | Google Kubernetes | Google Kubernetes Engine | Graph Database | Kubernetes Engine | LLM | MLflow | Model Drift | Model Drift Detection | Model Monitoring | Neo4j | Partitioning | PubSub | Python | RAG | Retrieval-Augmented Generation | SQL | Schema governance | Semantic Search | Vector embeddings | Vertex AI | Workload aware modeling
Education
Roles
AI Data Engineer | Data Engineer | Engineer | Senior AI Data Engineer
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