Data Scientist (AWS SageMaker & MLOps) Houston, Tx USA

Build and deploy classical machine learning models using AWS SageMaker.

Host and serve ML models in production environments.

Implement ML model monitoring, telemetry, and performance tracking.

Set up monitoring dashboards and alerts using Prometheus, Grafana, or equivalent tools.

Maintain and monitor deployed models for reliability and performance.

Strong experience in Data Science and classical Machine Learning.

Hands-on experience building ML models using AWS SageMaker.

Experience deploying, hosting, and serving ML models.

Practical experience with MLOps and production model monitoring.