NORRIQ BENELUX

Machine Learning Engineer

• Deploy ML/AI Models: Work with Data Scientists to deploy secure, scalable, and reliable models into production.
• Build CI/CD Pipelines: Automate testing, packaging, and deployment for data and model workflows.
• Manage Data Pipelines: Design and maintain efficient data flows across storage systems, databases, and platforms.
• Set Up Environments: Manage dependencies, development environments, and tooling for smooth project onboarding.
• Operate Kubernetes: Deploy and maintain containerized AI components using Kubernetes.
• Monitor & Troubleshoot: Oversee model/application performance, resolve incidents, and conduct root-cause analyses.
• Optimize & Innovate: Identify improvements, adopt new technologies, and enhance AI engineering practices.