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, 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.