Engineering Manager, Data Platform & ML Ops

Tasks

• Collaborate with Data Scientists Product Managers and Engineers
• Define engineering standards and best practices for data and ML
• Deliver high impact data products for fraud detection and identity intelligence
• Drive continuous improvement in performance reliability and operational maturity
• Guide data and ML technical architecture decisions
• Lead and mentor data platform engineers
• Manage experimentation training pipeline deployment and monitoring
• Oversee ML Ops lifecycle end to end
• Own data platform architecture reliability and scalability
• Review complex engineering proposals

Perks/Benefits

• Fully remote
• Inclusive diverse collaborative environment
• Learning and innovation culture
• Opportunity to lead mission critical systems
• Remote-first organization

Skills/Tech-stack

AWS | BigQuery | ClickHouse | Cloud Computing | Data Engineering | Data Warehouse | Databricks | Experimentation | ML Ops | Machine Learning | Model Deployment | Production Monitoring | Snowflake | Training pipelines