Tech Lead, Data & Inference Engineer
A USD 170K-198K (estimate) Senior-level Full Time
Tasks
- Build and maintain batch and streaming data pipelines
- Deliver data as a product with data contracts ownership and lifecycle processes
- Ensure reliability cost and service level objectives
- Guide data lake and pipeline architecture decisions and documentation
- Lead end to end data platform design development and scaling
- Manage large language model and retrieval augmented generation workflows
- Mentor engineers and review code to raise technical standards
- Operate inference pipelines for enrichment scoring and quality assurance
- Scale API and internal service integration for real time and batch use cases
Perks/Benefits
Skills/Tech-stack
Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | CI/CD | Caching | Cloud platform | DBT | Dagster | DuckDB | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Language Models | Large Language Models | Microsoft Azure | Observability | Prefect | Python | Retrieval-Augmented Generation | SQL | Version control | Web Services | “as-code”
Education
Roles
Data Engineer | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Tech Lead
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