Key skills
DevOps/MLOps experienceContainerizationCI/CD pipelinesCloud platformsPythonInfrastructure-as-codeAIMachine LearningMLMLOpsAWSAzureGCPKubernetesDockerCI/CD
About this role
Novolex is a leading manufacturer of food, beverage, and specialty packaging supporting multiple industries. They are seeking an AI Machine Learning Ops Engineer to build and maintain ML operations infrastructure, automate model processes, and ensure the reliability and scalability of ML deployments.
Responsibilities:
- Build and maintain ML operations infrastructure and pipelines
- Automate model training, testing, and deployment processes
- Implement monitoring and logging for production ML systems
- Optimize model performance and resource utilization
- Ensure reliability and scalability of ML deployments
Requirements:
- 5+ years in DevOps/MLOps with production ML experience
- Expertise in containerization, orchestration (Docker, Kubernetes)
- Strong knowledge of CI/CD pipelines and automation tools
- Experience with cloud platforms (Azure, AWS, GCP)
- Proficiency in Python and infrastructure-as-code