Senior ML Architect-Scientist, Telemetry and Log Analytics
Tasks
- Apply new ML time series and observability technologies to improve team projects
- Define requirements and architectural patterns for batch and real time streaming analytics
- Drive model governance and MLOps best practices and mentor research and publications
- Own end to end modelling strategy and analytic architecture for telemetry and log analytics
Perks/Benefits
- N/A
Skills/Tech-stack
ARIMA | Anomaly Detection | Apache Airflow | Azure Monitor | Boosted Trees | Causal Discovery | Causal Inference | Cause analysis | Change point detection | Classification | Clustering | Correlation Analysis | Data Versioning | Datadog | Drift Detection | ELK | ETL | Elastic Stack | Embeddings | Experimental Design | Feature Engineering | Feature Store | Gradient Boosted Trees | Grafana | Language Processing | Learning operations | Loki | MLOps | Machine Learning | Machine Learning Operations | Model Governance | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Observability | OpenTelemetry | Pattern Mining | Prophet | Python | Root Cause Analysis | Root cause | SLI | SLO | SQL | Sequence mining | Series forecasting | Splunk | State Space Models | State-Space | Template Mining | Time Series | Time Series Decomposition | Time Series Forecasting | Topic Modeling
Education
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