Job Description

The Opportunity

As an ML Engineer, you will be responsible for building and maintaining the pipelines that power AI within Healthcare Information Systems (HIS). This role suits a practical, detail focused engineer with a strong interest in MLOps, data reliability, and production stability.

You will focus on ensuring models work reliably in real world environments. The position bridges data science and software engineering by implementing automated workflows, managing cloud infrastructure, and ensuring AI services are secure and scalable.

Key Responsibilities

1. MLOps & Deployment

  • Build and maintain CI/CD pipelines for machine learning, including automated testing, model deployment, and version control (for example MLflow or Git).
  • Deploy ML models as scalable APIs and microservices while meeting performance and latency requirements for clinical use.
  • Implement monitoring tools to track model perfo...

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