Engineering Manager, Data Platform & ML Ops
Tasks
- Collaborate with data scientists and product teams
- Define engineering standards and best practices
- Deploy production machine learning models
- Drive production monitoring and reliability improvements
- Ensure data platform scalability
- Ensure delivery of data products for fraud detection and identity intelligence
- Lead and grow engineering team
- Monitor production ML systems
- Oversee ML Ops lifecycle
- Own data platform strategy and reliability
- Own data warehouse architecture
- Own experimentation training pipelines
- Review engineering proposals for data and ML systems
- Translate data initiatives into business impact
Perks/Benefits
Skills/Tech-stack
AWS | BigQuery | ClickHouse | Cloud infrastructure | Data Engineering | Data Warehouse | Databricks | ML Ops | Machine Learning | Model Deployment | Production Monitoring | Reliability | Scalability | Snowflake | Training pipelines
Education
N/A
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