AWS AI ML Engineer

Responsible for the continuous deployment, integration, and monitoring of ML models.

Use AWS DevOps and MLOps tools to manage workflows and maintain uptime.

Implement CI/CD pipelines for model deployment and integration with data pipelines.

Automate testing, validation, and retraining of models to support scalability.

Manage underlying AWS infrastructure (EC2, S3, Lambda, etc.) required for model hosting.

Optimize resource allocation to minimize costs while meeting performance needs.

Support and maintain data ingestion, transformation, and feature engineering pipelines.

Ensure seamless integration with production workflows and data updates.

Implement monitoring solutions to track model performance and health.

Maintain logs, set up alerts, and work on troubleshooting any issues.

Implement and enforce security policies for data and model access.

Ensure compliance from an operational standpoint (e.g., permissions, audit logs).

Work closely with data scientists to facilitate model handovers.

Provide support in resolving issues with model deployment and performance.

Identify opportunities for process improvements and automation.

Experiment with new MLOps tools and methods to enhance pipeline efficiency.