Principal AI Engineer
Tasks
- Apply machine learning to large datasets
- Build scalable AI platforms
- Define enterprise AI strategy
- Deploy AI agents and copilots
- Develop AI governance frameworks
- Develop LLM-powered applications
- Develop advanced analytics for science
- Drive cross-functional AI adoption
- Enable experimentation and monitoring
- Establish AI technical architecture
- Evaluate model performance and explainability
- Implement retrieval-augmented generation
- Integrate AI with research and operations systems
- Lead responsible secure AI development
- Mentor engineers and scientists
- Prioritize AI use cases
- Set AI engineering standards
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Security | AI infrastructure | Artificial Intelligence | Cloud Native | Cloud Native Architecture | Data Processing | Data platforms | Distributed Systems | Generative AI | High Performance | High-Performance Computing | Language Models | Large Language Models | Large Scale Data | Large-scale | Large-scale Data Processing | Machine Learning | Model Deployment | Model Evaluation | Model Governance | Monitoring | Observability | Performance Computing | Responsible AI | Retrieval-Augmented Generation | Software Architecture | Statistical modeling
Education
Roles
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