MLOps Engineer
• Mid-Level
• Hybrid
• Data
Mark status as:
✨ The Role in One Sentence
EnliteAI GmbH is seeking a Senior MLOps Engineer to manage infrastructure, data pipelines, and CI/CD for their Geospatial Data Platform.
📋 What You'll Likely Do
30%: Design and manage GPU & CPU server infrastructure, including Kubernetes clusters and cloud deployments.
30%: Manage and orchestrate data pipelines and storage systems for model training and execution.
20%: Own CI/CD pipelines and establish monitoring of model, pipeline, and infrastructure health.
🧑💻 Profiles Doing This Job
High Priority: 3+ years in data-driven environments.
High Priority: Experience with Kubernetes and Docker.
High Priority: Python programming skills.
📈 How This Role Will Look on Your CV
Managed and optimized MLOps infrastructure for a geospatial data platform.