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python databricks mlops mlflow kubeflow📋 Description
- Lead the MLOps Squad: Oversee ML platform team delivering ML systems.
- Collaborate with Data Science and AI Leaders to align platform requirements.
- Optimize Model Deployment & Monitoring for production performance.
- Foster Best Practices: promote infrastructure and coding standards.
- Drive Automation & Efficiency: automate pipelines for fast iteration.
- Manage Careers: lead teams and grow team members.
🎯 Requirements
- Leadership Experience: Leadership experience; manage teams and careers.
- ML Knowledge: ML concepts across regression, classification, NN.
- Engineering Excellence: Strong ML production engineering practices.
- Technical Proficiency: Python or major language; cloud services.
- Technical Communication: Excellent written and verbal communication.
- Continuous Learning: Up-to-date with ML engineering advances.
🎁 Benefits
- Remote-first; work from anywhere in Brazil.
- Office option in São Paulo or coworking twice a week.
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