Sr. Applied AI Engineer
Tasks
- Add operational guardrails for production models
- Build shared AI platform capabilities
- Collaborate with product infra and data teams
- Design performance reliability safety and cost measurement systems
- Document reusable AI components
- Evaluate emerging AI tools models and patterns
- Evolve shared infrastructure for AI and ML development
- Implement deployment workflows
- Implement evaluation workflows
- Implement observability and monitoring
- Improve LLM Ops and ML Ops capabilities
- Standardize best practices for building deploying and monitoring
Perks/Benefits
Skills/Tech-stack
Cloud infrastructure | Distributed Systems | Experiment Management | Governance | LLM-Ops | Language Models | Large Language Models | ML Ops | Machine Learning | Model Deployment | Model Evaluation | Monitoring | Observability | Python | TypeScript
Education
N/A
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