Staff Data Science Researcher
Tasks
- Architect prototype and evaluate single agent and multi agent systems
- Communicate research findings and risks to stakeholders
- Contribute to AI agent roadmap and team standards
- Define offline and online evaluation strategies
- Establish best practices for safe controllable scalable AI agents
- Guide architectural decisions for LLM and agent systems
- Lead end to end AI research initiatives
- Mentor researchers and data scientists
- Partner to productionize and deploy research components
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AI Agents | AWS Bedrock | Agent systems | B testing | CI/CD | Computer Vision | Deep learning | Evaluation | HuggingFace Transformers | LLM-as-a-Judge | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Memory | Multi-Agent | Multi-Agent Systems | Multimodal Learning | Natural Language | Natural Language Processing | Observability | Orchestration | Planning | Policy Optimization | Prompt engineering | Python | Reinforcement Learning | Synthetic data | Testing | Tool invocation | Tool use | Weak Supervision
Education
N/A
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