Remote MLOps Engineer: Deploy & Govern ML in Production

UST Global Inc; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

UST Global Inc is seeking a full-time remote MLOps Engineer to automate model training, testing, deployment, and monitoring workflows while collaborating with Data Engineers and DevOps teams to operationalize ML solutions.

Key responsibilities include model versioning, experiment tracking, and model registry, plus monitoring drift and health in production environments, and establishing governance and security for ML platforms.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
• Strong Python programming skills with ML deployment experience.
• Hands-on experience with MLflow, Kubeflow, and SageMaker.
• Knowledge of Docker, Kubernetes, and CI/CD processes.

Responsibilities

• Automate model training, testing, deployment, and monitoring workflows.
• Collaborate with Data Engineers and DevOps to operationalize ML solutions.
• Implement model versioning, experiment tracking, and model registry.
• Monitor production models for performance drift and health.

Skills

Python programming

ML lifecycle management

Deployment automation

PoC to Production

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field

Tools

MLflow

Kubeflow

Amazon SageMaker

Docker

Kubernetes

CI/CD

Job description

UST Global Inc is seeking a full-time remote MLOps Engineer to automate model training, testing, deployment, and monitoring workflows while collaborating with Data Engineers and DevOps teams to operationalize ML solutions.

Key responsibilities include model versioning, experiment tracking, and model registry, plus monitoring drift and health in production environments, and establishing governance and security for ML platforms.