AVP/VP, AI Engineer, Data Management Office
Tasks
- Analyze agent and model behavior
- Apply responsible AI principles
- Assess retrieval components
- Assess robustness safety error propagation
- Build automated evaluation pipelines
- Collaborate with risk governance teams
- Design agentic AI workflows
- Develop AI ML proof of concept
- Develop evaluation approaches for LLMs
- Ensure safe compliant AI deployment
- Integrate APIs and external tools
- Orchestrate tool use
- Run scenario tests and benchmarks
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Automated testing | Azure | Azure Databricks | Copilot Studio | Hadoop | Keras | MLflow | MLlib | Microsoft Purview | Observability | Power Apps | Power Automate | Prompt engineering | PySpark | PyTorch | Python | RAG | Regulatory Compliance | Responsible AI | Retrieval-Augmented Generation | Scenario testing | Scikit-learn | SharePoint | TensorFlow | Tool use | Vector Database | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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