Senior Manager, Machine Learning Platform Engineer
US - CA - Foster City, United States
USD 157K-203K Senior-level Full Time
Tasks
- Build and maintain ML and data infrastructure
- Collaborate with data scientists on model testing and validation
- Create security access control and data governance controls
- Design batch and streaming data pipelines
- Develop documentation and release runbooks and rollback plans
- Establish data quality and model performance monitoring
- Evaluate emerging ML data and AI tooling and contribute to roadmap
- Implement CI CD for model lifecycle
- Implement monitoring, logging, and alerting
- Operationalize machine learning models in production
- Orchestrate workflows with scheduling and retries
- Provision and manage cloud environments with infrastructure as code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Access Control | Alerting | Automated testing | Azure | Batch Processing | Bias monitoring | CI/CD | Cloud Security | CloudWatch | Contract testing | Data Drift | Data Governance | Data Quality | Databricks | Datadog | Docker | Git | GitHub Actions | Go | Infrastructure as Code | Integration Testing | Kubernetes | Linting | Logging | MLOps | Monitoring | Prometheus | PyTorch | Python | SQL | Scikit-learn | Splunk | Streaming Data | TensorFlow | Terraform | Type Checking | TypeScript | Workflow Orchestration | XGBoost | “as-code”
Education
Regions
Countries
States
Cities
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