Tech Lead, Data & Inference Engineer
Cupertino, California, United States
A USD 170K-198K (estimate) Senior-level Full Time
Tasks
- Build batch pipelines
- Build streaming pipelines
- Create data contracts
- Design data platform end to end
- Enrich data with large language models
- Ensure Data reliability
- Ensure data consistency
- Implement caching and evaluation loops
- Implement retrieval-augmented generation
- Maintain data lineage documentation
- Manage version control
- Mentor engineers
- Operate inference pipelines
- Optimize cost and latency
- Review code and improve standards
- Scale API integrations
- Transform data sources via APIs
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Azure | CI/CD | Caching | Cloud platform | DBT | Dagster | DuckDB | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Observability | Prefect | Python | Retrieval-Augmented Generation | SQL | Version control | Web Services | “as-code”
Education
Roles
Data Engineer | Data Platform | Data Platform Lead | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Platform Lead | Tech Lead
Regions
Countries
States
Cities
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