Pessoa Engenheira de MLOps SR
Belo Horizonte, MG, Brasil
BRL 20K-40K (estimate) Senior-level Full Time
Tasks
- Build scalable machine learning pipelines
- Define solution architecture standards
- Deploy models to development qa and production
- Develop MLOps pipelines
- Document and standardize ML processes
- Ensure CI CD for model and data workflows
- Ensure model governance performance and observability
- Implement model monitoring and automatic retraining
- Integrate data from multiple sources
- Monitor infrastructure cost usage
- Own end-to-end solution delivery
- Set up model versioning and logging
- Support data scientists from prototype to production
Perks/Benefits
- Childcare assistance
- Dental insurance
- Health insurance
- Meal benefits
- Mental health support
- Private pension
- Vacation Return
Skills/Tech-stack
APIs | Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Machine Learning | CI/CD | Concept drift | DVC | Data Drift | Data Factory | Databricks | Docker | Explainability | Fairness | GitHub | Kubernetes | MLflow | Machine Learning | Observability | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Unity Catalog | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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