A company is looking for a Senior DevOps Engineer.
Key Responsibilities
Architect, design, and implement scalable, secure infrastructure for AI / ML workloads
Build and maintain CI / CD pipelines for AI models, managing data ingestion to model serving
Act as a subject matter expert and mentor for junior engineers, promoting best practices in AI / ML development
Required Qualifications
5+ years of experience in DevOps, ML Infrastructure, or Platform Engineering in a senior capacity
5+ years of expert-level knowledge of at least one major cloud provider (AWS, Azure, or GCP)
5+ years of hands-on experience with ML orchestration tools like Kubeflow or MLflow
5+ years of expertise with Docker and Kubernetes for managing AI / ML workloads
5+ years of coding skills in languages such as Python, Go, or Bash for automation
Senior DevOps Engineer • Arlington, Texas, United States
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