Posted:1 day ago|
Platform:
Remote
Full Time
Proficient MLOps engineer capable of independently managing production model deployments, pipelines, and infrastructure operations.
Deploy and maintain ML models in production using technologies like AWS SageMaker, MLflow, or Kubeflow.
Manage pipelines and CI/CD workflows using tools like ArgoCD, Terraform, or similar infrastructure-as-code platforms.
Support data workflows and ETL orchestration through technologies like Astronomer or Airflow.
Collaborate with data science teams to transition models into production environments.
Perform root cause analysis and remediation for incidents.
24 years of experience in MLOps or DevOps.
Proficiency with one or more ML orchestration tools and cloud environments.
Solid Python skills for automation and workflow management.
Arroyo Consulting
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