Lead Enterprise AI Data Engineer
Tasks
- Apply SDLC best practices
- Build LLM and RAG tooling
- Build batch and real time streaming pipelines
- Deploy production machine learning systems
- Design scalable data pipelines
- Develop ETL and ELT pipelines
- Develop data services and APIs
- Ensure data quality and monitoring
- Evaluate emerging AI technologies
- Implement secure data ingestion
- Implement stream processing architectures
- Manage database migrations
- Mentor junior engineers
- Troubleshoot pipeline and model issues
Perks/Benefits
- 401k retirement plan
- Flexible work hours
- Hybrid work
- Long-term disability
- Medical, dental & vision coverage
- Paid Company Holidays
- Paid parental leave
- Short-term disability
- Sick time and vacation
- Unlimited paid time off
Skills/Tech-stack
AWS | Apache Beam | Apache Spark | CI/CD | Code review | Contextual Bandits | Data Modeling | Data Quality | Databricks | Deep learning | Docker | ELT | ETL | Google Cloud | Java | Kafka | LLM | Machine Learning | OpenSearch | Python | RAG | Recommendation Systems | Reinforcement Learning | SQL | Scikit-learn | Snowflake | Streaming Data | TensorFlow | Terraform | Testing | Vector Search
Education
N/A
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