Senior AI Data Scientist
Tasks
- Analyze model behavior and failure modes
- Build evaluation frameworks for model performance
- Define agent logic with memory and decision making
- Design AI systems
- Develop structured prompting and tool integrations
- Implement single agent and multi agent workflows
- Integrate AI solutions into production environments
- Mentor team members and establish best practices
- Optimize AI workflows for performance scalability and cost efficiency
Perks/Benefits
- Commuter benefits
- Employee assistance programs
- Health savings account options
- Medical, dental & vision coverage
- Paid time off
- Parental leave
- Professional development opportunities
- Wellness programs
Skills/Tech-stack
API Integration | Agent systems | Agentic Workflows | Artificial Intelligence | Embeddings | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Production ML | Prompt engineering | Python | RAG Pipelines | Retrieval-Augmented Generation | Tool-Calling | Vector Databases
Education
N/A
Roles
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