MLOps Engineer
AI
MLOps Engineer needed to build, deploy, and maintain production-ready machine learning solutions with a focus on CI/CD, model serving, monitoring, and cloud infrastructure. The role involves extending capabilities toward LLMOps and agentic AI workflows, collaborating with engineering and data science teams, and advising clients on AI infrastructure best practices. Based in Amsterdam or Rijswijk, Netherlands, in a hybrid working mode.
What you'll do
- Build and maintain platform components for ML model training, deployment, serving and monitoring
- Develop and optimize CI/CD pipelines for machine learning workflows
- Implement and support model lifecycle management, including registries and observability tooling
What you need
Must-have
PythonCI/CDKubeflowApache AirflowMetaflowPrefectDockerKubernetes
Nice-to-have
Generative AILLM inference pipelinesAgentic AI systemsFeature storesVector databasesRetrieval-augmented generationAI governanceAI security
Soft skills
Strong communications skillsCollaborationClient engagement
MLOpsMachine LearningLLMOpsAICloudKubernetesCI/CDPythonHybridNetherlands