Machine Learning Engineer

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

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

Contract : 12 months (Renewable)

Start Date : December 1, 2025

🔎 Role Overview

We are seeking a proficient MLOps Engineer (Level II) with 2–4 years of experience in ML operations, pipelines, and production deployments . The ideal candidate will be hands-on, detail-oriented, and capable of working independently to ensure ML models are deployed, monitored, and maintained effectively.

🎯 Responsibilities

• Deploy and maintain ML models in production (AWS SageMaker, MLflow, Kubeflow).
• Manage CI / CD pipelines and infrastructure as code (Terraform, ArgoCD).
• Support ETL / data workflows using Airflow or Astronomer.
• Collaborate with data scientists to transition models into production environments.
• Troubleshoot issues, perform root cause analysis, and drive remediation.

🛠 Qualifications

🚀 Position 2 : MLOps Engineer III (Senior-Level)

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

Contract : 12 months (renewable)

Start Date : December 1, 2025

🔎 Role Overview

We are hiring a Senior MLOps Engineer (Level III) with 4–6 years of experience designing and scaling ML infrastructure . This role requires technical leadership, mentorship, and deep expertise in automation and hybrid environments. The Engineer III will set best practices, lead monitoring strategies, and ensure reliable integration across teams.

🎯 Responsibilities

🛠 Qualifications

📌 Why Join?