Senior ML Architect-Scientist, Telemetry and Log Analytics
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Summary
The Senior ML Architect-Scientist will lead end-to-end modeling strategies for telemetry and log analytics, focusing on anomaly detection, forecasting, and NLP. The role involves defining analytic architectures, designing feature stores, and ensuring robust model governance and deployment.
- Apply NLP for unstructured logs
- Apply model governance and monitoring
- Define analytic architecture
- Define batch and streaming analytics requirements
- Define data contracts and schemas
- Define model serving patterns
- Design feature stores
- Design time series and event log models
- Detect model drift
- Develop evaluation and monitoring specifications
- Implement anomaly detection
- Implement change point detection
- Implement forecasting
- Lead modelling strategy
- Mentor team and share best practices
- Own end to end modelling from problem framing to deployment
- Perform correlation analysis
- Perform pattern mining
- Perform root cause analysis