Principal Data Scientist, AI Engineering
Tasks
- Build and deploy AI agents tools and systems
- Define and enforce reference architectures and standards
- Derive business insights from data and present results
- Develop evaluation and observability for agents
- Ensure reliability latency cost efficiency and maintainability
- Execute innovation to measure competitive advantage
- Identify technical gaps and orchestrate training
- Implement drift monitoring metrics
- Lead AI engineering efforts for agent systems
- Lead delivery transformation initiatives
- Provide technical guidance and mentoring
Perks/Benefits
- 401k program
- Dental benefits
- Discounts on travel
- Employee assistance program
- Flexible spending accounts
- Health benefits
- Pet insurance
- Prescription benefits
- Travel benefits
- Virtual doctor visits
- Vision benefits
- Wellness programs
Skills/Tech-stack
Agile | Artificial Intelligence | Drift monitoring | GenAI | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Metrics | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | TypeScript
Education
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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