Engineering Manager, Data Platform & ML Ops

Tasks

• Build and evolve data platforms
• Collaborate with Data Scientists Product Managers and Analysts
• Contribute to architecture discussions
• Drive continuous improvement and innovation
• Establish engineering standards and best practices
• Lead and mentor engineering team
• Manage experimentation training and deployment
• Monitor models in production
• Oversee ML lifecycle
• Own data infrastructure reliability and scalability
• Review solutions and provide technical guidance

Perks/Benefits

• Continuous learning
• Flexibility to work from preferred location
• Inclusive workplace culture
• Opportunity to lead and grow team
• Professional growth opportunities
• Remote-friendly work environment
• Technical challenges

Skills/Tech-stack

AWS | Architecture | BigQuery | ClickHouse | Continuous Improvement | Data Engineering | Databricks | Learning operations | Machine Learning | Machine Learning Operations | Model Serving | Production Monitoring | Reliability | SaaS | Scalability | Snowflake | Training pipelines