Engineering Manager, Data Platform & ML Ops

Tasks

• Collaborate with data scientists and product managers
• Define engineering standards and best practices
• Deploy machine learning models
• Drive development of data platforms
• Implement continuous improvement for data systems
• Lead and mentor engineering team
• Manage experimentation and training pipelines
• Monitor machine-learning models in production
• Oversee machine learning lifecycle
• Own reliability and scalability of data infrastructure
• Review architecture and provide technical guidance
• Support stakeholder management and delivery

Perks/Benefits

• Continuous learning
• Flexible work location
• Inclusive workplace culture
• Professional growth opportunities
• Remote-friendly work environment

Skills/Tech-stack

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