Engenheiro de Dados Sênior MLOps

📋 Description

• Deploy and operate MLOps pipelines for model deployment and ops.
• Build PySpark/Databricks data prep, transform, and validation pipelines.
• Deploy, version, and manage ML models in production.
• Automate model training, validation, deployment, and monitoring.
• Implement ML CI/CD practices using GitHub and related tools.
• Monitor performance, data quality, and system stability; ensure traceability.

🎯 Requirements

• Solid experience deploying ML models in production.
• Advanced Databricks experience.
• Strong knowledge of Azure cloud services.
• Proficiency in PySpark for distributed processing.
• Experience with GitHub and version control.
• Knowledge of MLOps concepts including automation, monitoring, and governance.

🎁 Benefits

• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended parental leave.
• Life insurance.
• Continuous learning platform and development resources.