Job Description

Job Description

You will bridge the gap between Data Science and Operations. Your goal is to operationalize complex ML models for Defense applications, ensuring that AI-driven insights are delivered to the field with Zero-Downtime reliability and full traceability.

Key Responsibilities:

  • End-to-End Lifecycle: Build and manage the full ML lifecycle—from experiment tracking to model deployment and retraining.
  • Containerization: Master the deployment of ML workloads using Docker and Kubernetes (OpenShift).
  • Automation: Implement ML-specific CI/CD (e.g., CML, Kubeflow Pipelines) to automate the promotion of models to production.
  • Observability: Set up specialized monitoring for model drift, data quality, and prediction accuracy.
  • Scalability: Architect distributed systems for large-scale model inference.

    • Qualifications

    Requirements:...

    Ready to Apply?

    Take the next step in your AI career. Submit your application to Deutsche Telekom IT Solutions HU today.

    Submit Application