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:
- 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.
