Senior Data/AI Engineer
Tasks
- Add observability logs metrics traces
- Build ETL/ELT pipelines
- Build and maintain backend services
- Comply with PII and privacy requirements
- Conduct load and performance testing
- Contribute to CI CD automation deployments
- Design AI-powered workflows
- Design indexing and caching strategies
- Design scalable REST APIs
- Design secure cloud and hybrid connectivity
- Develop embedding pipelines
- Implement RAG retrieval systems
- Implement authentication authorization secrets management
- Implement data governance and security
- Implement data quality validation auditing observability
- Integrate LLMs into production
- Optimize SQL queries
Perks/Benefits
Skills/Tech-stack
API Design | AWS | Authentication | Authorization | Azure | C# | CI/CD | Data Governance | Data Lake | Data Modeling | Data Quality | Data Validation | Docker | ELT | ETL | Embedding pipelines | Event Driven | Event-driven architecture | Go | Google Cloud | Java | Jupyter Notebook | Kubernetes | LLM | Load Testing | Logging | Metrics | Monitoring | NoSQL | Observability | Performance Tuning | Python | R | RAG | REST | Retrieval-Augmented Generation | SQL | Schema Design | Secrets management | Streaming | Tracing | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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