AVP/VP, AI/ML Model Validation Engineer, Data Management Office
Tasks
- Assess end to end model workflows and feature transformations
- Benchmark models and run regression frameworks
- Build automated test and evaluation pipelines
- Collaborate with data scientists on intent and expected behaviors
- Contribute to AI ML proof of concept initiatives
- Debug issues using observability logging tracing and debugging tools
- Define test strategies for statistical ML LLM and agentic AI models
- Evaluate model accuracy bias fairness robustness and drift
- Maintain metadata and document datasets for model testing
- Perform functional regression and scenario testing
- Support analytics enablement and data management workflows
- Validate API and tool integrations in production like environments
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Bias/fairness | C plus plus | CI/CD | Data Drift | Data Drift Detection | Debugging | Distributed tracing | Drift Detection | Java | JavaScript | LLM Evaluation | Logging | MLOps | MLOps pipelines | MLlib | Model Evaluation | Observability | PySpark | Pytest | Python | R | Regression testing | Robustness Analysis | SQL | Scala | Test automation | Tool integration
Education
N/A
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