Sr Data Scientist II
Tasks
- Apply algorithms and complexity analysis
- Architect agentic applications
- Design interfaces and data contracts
- Establish observability for LLM workflows
- Optimize latency memory and retrieval performance
- Own production readiness for AI components
- Refactor Python applications
- Review code and mitigate risks
- Support deployments and incident response
- Write automated tests for ML systems
Perks/Benefits
Skills/Tech-stack
Alerting | Backoff | CI/CD | Distributed tracing | Embeddings | End to End | End-to-End Testing | Evaluation | Generative AI | Graceful Degradation | Idempotency | Integration Testing | LLM | Metrics | OpenSearch | Pydantic | Pytest | Python | Rate Limiting | Regression testing | Reranking | Retries | Retrieval-Augmented Generation | Solr | Structured Logging | Timeouts | Type annotations | Unit Testing
Education
N/A
Roles
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