Engineering Manager, Data Platform & ML Ops
Tasks
- Collaborate with data scientists product managers and engineering leaders
- Define and evolve engineering standards tooling and best practices
- Deliver high impact data products for fraud detection and identity intelligence
- Drive continuous improvement in performance reliability and operational maturity
- Guide data and ML system architecture decisions
- Lead and mentor data platform and ML Ops team
- Oversee end to end ML Ops lifecycle experimentation training deployment monitoring
- Own data platform strategy reliability and scalability
- Own internal data warehouse architecture
- Review engineering proposals across data and ML systems
Perks/Benefits
- Fully remote
- Inclusive diverse collaborative environment
- Learning and innovation culture
- Remote-first culture
Skills/Tech-stack
AWS | Amazon Web Services | BigQuery | ClickHouse | Data Engineering | Data Warehouse | Databricks | Distributed Systems | Experimentation | ML Ops | Machine Learning | Model Deployment | Production Monitoring | Snowflake | Training pipelines | Web Services
Education
N/A
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