Principal Applied AI Engineer
Tasks
- Advise on long term architecture planning
- Build scalable AI application pipelines
- Deliver natural language understanding systems
- Design production AI solutions
- Drive MLOps observability and testing
- Evaluate emerging AI frameworks and tools
- Implement speech and real time reasoning
- Improve platform scalability and reliability
- Integrate Azure AI models
- Integrate large language models
- Lead AI model integration initiatives
- Mentor engineers
- Own AI architecture and strategy
- Securely deploy AI services
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Azure AI | B testing | C# | C++ | Containerization | Docker | Java | JavaScript | Kubernetes | LLMOps | Language Models | Language Processing | Large Language Models | MLOps | Model versioning | Monitoring | Natural Language | Natural Language Processing | Observability | Privacy Compliance | Python | RAG | REST APIs | Real Time | Real-time reasoning | Retraining Pipelines | Secure deployment | Speech Recognition | Testing | Transformers | Zero Trust
Education
N/A
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