Staff Data Scientist - Agentic AI
Tasks
- Apply time series forecasting and risk prediction
- Build and operate production AI agents
- Create documentation and enablement materials
- Create planning and multi step reasoning strategies
- Define agent architecture and technical strategy
- Design guardrails and safety checks
- Design multi agent coordination and tool registries
- Design reasoning and execution loops
- Develop short term and long term memory
- Implement tool calling harness with retries timeouts and session state
- Lead cross functional technical design for agent systems
- Mentor data scientists on production agent engineering
- Model deal health and forecast risks
- Own offline and online agent evaluation
- Perform A/B testing
- Run LLM as judge evaluation
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Agent systems | B testing | Causal Inference | Deep learning | Dspy | Elasticsearch | Fine Tuning | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | LoRA | Machine Learning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | PEFT | Pinecone | Python | RAG optimization | Retrieval-Augmented Generation | Series forecasting | Statistical modeling | System design | Time Series | Time Series Forecasting | Vector Databases | XGBoost
Education
Roles
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