Data Scientist, ML (Agentic, CX)
Tasks
- Build and deploy machine learning models for customer support systems
- Design evaluation frameworks for model quality at scale
- Develop propensity segmentation and personalization models
- Maintain response quality and reliability at scale
- Partner with engineering to improve prompt design retrieval and tool use
- Translate agent architectures into production systems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Information Retrieval | LLM Evaluation | Language Models | Language Processing | Large Language Models | Machine Learning | Memory systems | Natural Language | Natural Language Processing | Orchestration | Personalization | Prompt engineering | Python | Ranking Systems | Recommendation Systems | Retrieval-Augmented Generation | SQL | Tool use
Education
N/A
Roles
Regions
Countries
States
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