Lead Data Science Researcher
Tasks
- Architect prototype and evaluate singleagent and multiagent systems
- Communicate research findings and risks to cross functional stakeholders
- Define offline and online evaluation strategies with KPIs and A B testing
- Develop prompt and program design for LLM applications
- Establish AI agent best practices for safety controllability and scalability
- Implement guardrails fallback strategies and observability for AI agents
- Lead end to end research initiatives across NLP Vision and multimodal domains
- Mentor researchers and data scientists
- Partner with productization teams to deploy reliable AI systems
- Translate research into production quality components
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | B testing | CI/CD | Computer Vision | Deep learning | Huggingface | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Safety patterns | Testing
Education
N/A
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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