Engineering Manager, Data Platform & ML Ops

Tasks

• Collaborate with data scientists product managers and engineering leaders
• Define engineering standards tooling and best practices
• Drive continuous improvement in performance reliability and operations
• Ensure delivery of production data products for fraud detection and identity intelligence
• Lead and mentor data platform and ML Ops engineers
• Manage end to end ML Ops lifecycle
• Oversee experimentation training pipeline deployment and monitoring
• Own data platform architecture reliability scalability
• Review data and ML system architecture proposals

Perks/Benefits

• Autonomy
• Fully remote
• Inclusive diverse workplace
• Learning and innovation
• Remote-first culture

Skills/Tech-stack

AWS | Architecture Review | BigQuery | ClickHouse | Cloud infrastructure | Data Engineering | Data Warehouse | Databricks | Engineering leadership | Experimentation | Machine Learning | Machine Learning Ops | Model Deployment | Production Monitoring | Reliability Engineering | Snowflake | Training Pipeline