Sr Data Scientist II
Tasks
- Apply algorithms and complexity analysis
- Architect agentic applications with retrieval and orchestration
- Deploy and support production services and handle incidents
- Design interfaces and data contracts for components
- Design production readiness for AI components
- Implement observability for LLM and retrieval workflows
- Optimize latency memory and retrieval performance
- Perform code reviews and provide risk feedback
- Refactor production Python code
- Write unit integration regression and end to end tests
Perks/Benefits
Skills/Tech-stack
Alerting | Backoff | Distributed tracing | Embeddings | End to End | End-to-End Testing | Evaluation | Generative AI | Guardrails | Human-in-the-loop | Idempotency | Integration Testing | Language Models | Large Language Models | Machine Learning | Metrics | OpenSearch | Prompt engineering | Pydantic | Pytest | Python | Regression testing | Reranking | Retries | Retrieval-Augmented Generation | Solr | Structured Logging | The Loop | Timeouts | Token Management | Type annotations | Unit Testing
Education
N/A
Roles
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