Tech Lead, Data & Inference Engineer
A USD 170K-198K (estimate) Senior-level Full Time
Tasks
- Build and maintain batch and streaming pipelines
- Create data contracts and data product workflows
- Ensure reliability cost and service level objectives
- Guide architecture decisions for data lake and pipeline stack
- Implement retrieval-augmented generation
- Lead data platform design development and scaling
- Manage data lineage and trade offs
- Mentor engineers and review code
- Optimize query performance and dataset processing
- Run inference pipelines for enrichment scoring and quality assurance
- Scale application integration and ensure data consistency
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Apache Flink | Apache Kafka | Apache Spark | Azure | Batch Processing | CI/CD | Caching | Cloud platform | DBT | Dagster | Data Architecture | Data Modeling | DuckDB | Evaluation | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Node.js | Observability | Prefect | Python | Retrieval-Augmented Generation | SQL | Streaming processing | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
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