ML Ops Engineer
VirtualVocationsGlendale, Arizona, United Statesjob_description.job_card.variable_days_ago
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A company is looking for an ML Ops Engineer to join their AI infrastructure team.
Key Responsibilities
Architect, implement, and maintain end-to-end ML pipelines
Automate model training and deployment workflows using CI / CD tools
Manage cloud and on-prem environments for scalable and secure ML workloads
Required Qualifications
2+ years of experience in software, DevOps, or ML Ops engineering
Deep familiarity with ML Ops platforms (e.g., MLflow, Kubeflow)
Expertise with CI / CD and IaC tools (e.g., Terraform, CloudFormation)
Strong experience with containerization and orchestration (Docker, Kubernetes)
Proficiency in Python and automation scripting
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Ml Engineer • Glendale, Arizona, United States
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