MLOps Engineer - AWS / Azure

Responsibilities :

• Pipeline Development : Design, build, and maintain CI / CD (Continuous Integration / Continuous Deployment) pipelines for automated model training, testing, and deployment.
• Automation : Automate workflows for model versioning, experimentation, and model retraining to ensure continuous improvement.
• Deployment and Integration : Deploy and integrate ML models into production environments, ensuring scalability and reliability.
• Monitoring and Management : Implement and manage monitoring tools to track model performance, system health, and resource utilization.
• Collaboration : Work closely with data scientists, data engineers, and software engineers to define requirements and integrate models into broader platforms.
• Troubleshooting : Identify and resolve issues in development, testing, and production environments related to models and the underlying infrastructure.
• Documentation : Maintain accurate and comprehensive documentation of MLOps processes, tools, and systems.

Requirements :

(ref : hirist.tech)