Engineering Manager, Data Platform & ML Ops
Tasks
- Collaborate with Data Scientists Product Managers and Analysts
- Develop data platforms
- Drive engineering standards and process improvements
- Drive experimentation training pipelines and model deployment
- Ensure data infrastructure reliability and scalability
- Establish data engineering and ML operations best practices
- Implement production monitoring for ML models
- Lead and mentor engineering teams
- Manage ML operations
- Oversee ML lifecycle end to end
- Review architecture and provide technical guidance
- Support team coaching feedback and career growth
Perks/Benefits
- Flexible work location
- Inclusive workplace culture
- Professional growth opportunities
- Remote-friendly work environment
Skills/Tech-stack
AWS | BigQuery | ClickHouse | Cloud Computing | Data Engineering | Data Infrastructure | Data Pipelines | Data Storage | Databricks | Experimentation | JavaScript | MLOps | Machine Learning | Machine learning lifecycle | Model Deployment | Production Monitoring | Python | Snowflake | Training pipelines
Education
N/A
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