Key Responsibilities:
MLOps Implementation:
- Deploy and manage machine learning models in production environments.
- Implement best practices for CI/CD and automated ML pipelines.
Model Monitoring:
- Continuously monitor model performance and health.
- Detect and address model drift to maintain accuracy and reliability.
Technical Environment / Tools:
- Work with Google Cloud Platform (GCP) for scalable ML infrastructure.
- Use Vertex AI for model development, deployment, and monitoring.
Collaboration and Communication:
- Work closely with data scientists, engineers, and stakeholders to operationalize ML solutions.
- Ensure smooth integration of ML models with business applications and data pipelines.
