Principal Research Engineer
Tasks
- Architect and deliver scalable responsible AI systems
- Champion fairness privacy and safety across AI lifecycle
- Communicate technical vision and results to executives and external audiences
- Define technical strategy for foundational models and multi agent systems
- Design controlled experiments analyze results and drive decisions
- Develop auditing frameworks and tools for ethical AI adoption
- Integrate LLMs multimodal models multi agent architectures and RAG
- Lead end to end MLOps evaluation instrumentation and deployment
- Mentor senior engineers and researchers
- Operationalize continuous learning from user feedback and system signals
- Optimize distributed training and inference for scale latency and cost
- Translate research prototypes into production quality code
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | Azure AI | Azure AI Foundry | Azure Machine Learning | Azure OpenAI | C# | C++ | CI/CD | Deep learning | Distributed Training | Experimentation | GPU Optimization | Java | JavaScript | LLM | MLOps | Machine Learning | Model Evaluation | Multi-Agent | Multimodal | PyTorch | Python | RAG | Responsible AI | Semantic Kernel | Telemetry | Telemetry instrumentation | TensorFlow
Education
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