Senior MLOps Engineer (m/f/d)

Rohde & Schwarz USA, Inc.; Dresden; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Rohde & Schwarz is seeking an experienced professional to take AI models from prototyping to safe production, including energy-efficient deployments and secure, compliant practices.

You will design and manage ML pipelines, CI/CD, and release processes, while steering containerization, orchestration, and monitoring across hybrid cloud and on-prem environments.

Qualifikationen

• Design and manage end-to-end ML pipelines and release processes.
• Oversee containerization, deployment, and hybrid cloud/on-premise orchestration.
• Define monitoring, drift detection, and KPIs for model performance.

Aufgaben

• Mentor MLOps and engineering colleagues across teams.
• Conduct architecture reviews and coordinate cross-team production rollouts.
• Optimize models and runtimes for energy-efficient deployments.

Kenntnisse

ML pipelines

CI/CD

Containerization

Deployment strategies

Hybrid cloud

On-premise

Monitoring

Drift detection

A/B testing

Experiment tracking

Security & compliance

Mentoring

Architecture reviews

Cross-team coordination

Kubernetes

Docker

Tools

Kubernetes

Docker

Jobbeschreibung

Introduction

You take AI models from prototype all the way to safe production use, even under power and air-gap conditions.

Tasks

• You design and are responsible for end-to-end ML pipelines as well as CI/CD and model release processes.


• You manage containerization, deployment strategies, and hybrid cloud and on-premise orchestration of models.


• You define and implement monitoring, drift detection, A/B testing, and operational KPIs for model performance and reliability.


• You drive reproducibility as well as metadata and experiment tracking at scale and ensure secure and compliant deployments.


• You mentor MLOps and engineering colleagues, conduct architecture reviews, and coordinate cross-team production rollouts.


• You optimize models and runtime environments for isolated and energy-efficient deployment environments.