Senior Data Scientist
Tasks
- Build Retrieval Augmented Generation systems
- Build interactive data applications and APIs
- Build machine learning predictive models
- Communicate analytical insights and model tradeoffs
- Design and implement multi-agent systems
- Develop optimization and mathematical programming solutions
- Develop software and analytical pipelines
- Implement guardrails hallucination detection output validation
- Implement hybrid search reranking contextual compression
- Mentor junior data scientists
- Monitor and log agentic systems
- Optimize system performance latency token efficiency
- Productionize machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Agent Orchestration | Agent memory | Agent systems | Agile | Classification | Concept drift | Confluence | Contextual compression | Data integration | Docker | Docker Kubernetes | ETL | FastAPI | Flask | Function Calling | Git | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Guardrails | Hallucination detection | Hybrid search | Jira | Kubernetes | Language Models | Large Language Models | Logging | Machine Learning | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | Regression | Reranking | Retrieval-Augmented Generation | SDLC | SQL | Series analysis | Streamlit | Time Series | Time Series Analysis | Tool-Calling | Vertex AI
Education
Roles
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