Engenheiro de Dados Sênior MLOps
Tasks
- Automate model training validation deployment and monitoring
- Build MLOps pipelines for model deployment and operations
- Collaborate with teams to deliver data and AI solutions
- Deploy version and manage machine learning models lifecycle
- Develop data preparation transformation and validation pipelines
- Ensure model traceability governance and reproducibility
- Implement CI CD for machine learning projects
- Integrate Azure and Databricks components
- Monitor model performance availability data quality and stability
- Optimize performance reduce costs and improve operational efficiency
Perks/Benefits
- Childcare assistance
- Continuous learning platform
- Dental insurance
- Discount club partnerships
- Extended parental leave
- Food allowance
- Gym access
- Health insurance
- Language learning opportunities
- Life insurance
- Meal allowance
- Profit sharing
Skills/Tech-stack
Automation | Azure | Azure Machine Learning | CI/CD | Data Quality | Databricks | GitHub | Governance | Lakehouse Architecture | MLOps | MLflow | Machine Learning | Model Monitoring | Observability | Production Deployment | PySpark | Reproducibility | Version control
Education
N/A
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