Senior ML Ops/Devops - Hybrid (She/He/They)
Tasks
- Automate environment configuration and repeatability
- Build and maintain CI/CD pipelines
- Build reusable templates and standardized pipelines
- Design MLOps platform components
- Drive post release reliability improvements
- Establish dashboards alerting and runbooks
- Implement model and pipeline monitoring
- Implement robust model deployment patterns
- Productionize credit risk models
- Translate modelling needs into scalable engineering solutions
Perks/Benefits
Skills/Tech-stack
Airflow | Ansible | Apache Spark | Automation | Bash | BigQuery | CI/CD | Data Lineage | Deployment | GCP | GitHub | Grafana | Groovy | Hadoop | Jenkins | MLOps | MLflow | Model Risk Management | Model risk | Monitoring | Observability | PySpark | Python | Risk Management | Secrets management | Splunk | TensorFlow | Vertex AI
Education
N/A
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