DevOps Engineer / Machine Learning Operations
Kforce
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
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