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 :
2–4 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.