Sr. Data Scientist - Agentic AI
Tasks
- Add guardrails for agent input and output
- Build RAG retrieval pipelines
- Collaborate with engineering to deploy to production
- Develop offline evaluation for shipped AI systems
- Implement inference pipelines in Python
- Prototype agentic AI systems
- Run LLM as judge evaluations
- Track regressions for model and agent changes
Perks/Benefits
Skills/Tech-stack
CI/CD | Chunking | Docker | Embeddings | Entity recognition | Evaluation | Feature Engineering | Git | Guardrails | LLM | LLM-as-judge | Language Model | Language Model Inference | Language Processing | Machine Learning | Model Deployment | Model Inference | Named Entity Recognition | Natural Language | Natural Language Processing | Python | Q and A | Q and A Systems | Regression testing | Retrieval-Augmented Generation | SQL | Text Classification | Vector Database
Education
Roles
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