Senior AI Data Scientist
Tasks
- Apply and fine-tune foundation models
- Architect agentic AI systems
- Build production ready Python services
- Communicate AI concepts tradeoffs and insights
- Design RAG pipelines
- Design and deliver AI advisors assistants and analytic agents
- Develop prompting strategies and agent behaviors
- Enable conversational analytics
- Partner with product managers, engineers, and researchers
Perks/Benefits
- 401k matching option
- Company holidays and sick time
- Health care premium support
- Professional development coaching
- Remote work
- Training and education
- Tuition reimbursement
- Vacation and floating holidays
Skills/Tech-stack
AWS | Agent systems | Agentic AI | Anthropic Claude | Autogen | Azure | CrewAI | Docker | Fine Tuning | GCP | Gemini API | Generative AI | Knowledge graphs | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Model Fine-tuning | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | OpenAI API | Prompt engineering | Prompt evaluation | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Vector Databases | Vector Search
Education
N/A
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