Kforce has a clienti n Greenwood Village, CO that is seeking a DevOps Engineer/Machine Learning Operations. Summary: We are partnering with a leading enterprise client to find a Senior DevOps Engineer to support their Data Science & Experimentation team. This individual will play a key role in deploying and scaling internal AI-driven infrastructure with a strong emphasis on ML Ops, Kubernetes, and vector database technologies. About the Team: Our client's data science team is responsible for building the infrastructure and tooling that powers the full machine learning lifecycle. This includes CI/CD pipelines, ML Ops workflows, and the underlying systems that support internal generative AI platforms. Key Responsibilities: * Deploy and manage containerized services in Kubernetes (EKS) environments * Implement and maintain vector database solutions (preferably PostgreSQL with pgvector) * Build and support CI/CD pipelines using GitLab * Develop and manage Infrastructure as Code using Terraform (CloudFormation knowledge is a plus) * Implement and maintain monitoring and observability solutions (Datadog preferred; Flexible to similar tools) * Collaborate closely with data scientists to support machine learning workflows * Support cloud-native microservices in AWS that interface with Azure OpenAI APIs