AI Infrastructure Engineer

Position 1 : MLOps Engineer II ( Mid-Senior-Level)

Location : Remote (Night Shift – 10 PM to 7 AM CST)

Contract : 12 months (renewable)

Start Date : December 1, 2025

MLOps Engineer II (Mid-Level)

Overview : Proficient MLOps engineer capable of independently managing production model deployments, pipelines, and infrastructure operations.

Responsibilities :

• 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.

Qualifications :