Machine Learning 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, 2025MLOps 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.

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