ML Ops Engineer
Tasks
- Build and maintain CI/CD pipelines for ML workflows
- Deploy and maintain ML models in production
- Design ML pipelines for training testing deployment
- Develop and optimize data pipelines using SQL
- Ensure data governance versioning and reproducibility
- Monitor model performance and ensure scalability
- Operationalize ML models with data scientists and data engineers
- Troubleshoot and resolve production issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Data Governance | Databricks | Google Cloud | Google Cloud Platform | Learning operations | Machine Learning | Machine Learning Operations | Model Monitoring | Reproducibility | SQL | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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