▷ (Immediate Start) 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?