Especialista em Machine Learning Engineering - MLOps | Data Science
Tasks
- Build MLOps pipeline
- Coordinate with engineering data governance DevOps and architecture
- Deploy ML models
- Design model testing and documentation
- Develop data and ML pipelines
- Enable Data Science engineering standards
- Ensure model quality in production
- Maintain MLOps pipeline
- Mentor ML engineering professionals
- Monitor model performance
- Optimize ML cloud infrastructure performance and cost
Perks/Benefits
- Childcare support
- Commuter Transit Benefits
- Dental plan
- Employee benefits club
- Flexible parental leave
- Gympass
- Health insurance
- Investment advisory
- Investment funds
- Life insurance
- Meal and travel benefits
- Visa Infinite Card
- Zenklub
Skills/Tech-stack
AKS | Airflow | Azure | Azure Event | Azure Event Hubs | Bicep | CI/CD | DVC | Databricks | Delta Lake | Docker | Event Hubs | Feature Store | GitHub Actions | GitLab CI | Hypothesis Testing | Kafka | Kedro | Kubernetes | LIME | MLOps | MLflow | Machine Learning | Metaflow | Model Explainability | Observability | Probabilistic Modeling | PySpark | Python | Regression | SHAP | SQL | Series analysis | Spark | Statistical modeling | Terraform | Time Series | Time Series Analysis | Unity Catalog
Education
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