[Job-30636] Engenheiro de Dados Sênior MLOps , Brazil
Tasks
- Automate training, validation, deployment, and monitoring
- Build data preparation transformation and validation pipelines
- Collaborate with data analytics engineering and business teams
- Deploy version and manage machine learning model lifecycle in production
- Develop and maintain MLOps pipelines
- Ensure traceability governance and reproducibility
- Implement CI CD practices for machine learning using GitHub
- Integrate Azure and Databricks environments
- Monitor model performance data quality and stability
- Optimize performance costs and operational efficiency
Perks/Benefits
- Child-care allowance
- Dental insurance
- Discount club
- Extended parental leave
- Gym discounts
- Health insurance
- Language learning platform
- Learning platform
- Life insurance
- Meal allowance
- Wellness program
Skills/Tech-stack
Azure | Azure Machine Learning | CI/CD | Data Pipelines | Data Quality | Data quality monitoring | Databricks | GitHub | Lakehouse | MLOps | MLflow | Machine Learning | Model Monitoring | Observability | PySpark | Python | Quality monitoring
Education
N/A
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