Remote MLOps Engineer: Deploy & Monitor ML at Scale

Bright-Vision-Technologies; Renton (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Bright Vision Technologies, a forward‑thinking software development company, seeks an MLOps Engineer to help operationalize ML models at scale. The role emphasizes MLOps, Python, and modern ML pipelines, with hands‑on work on model deployment and monitoring using TensorFlow, PyTorch, and MLflow, across AWS/Azure/GCP environments.

The position supports remote work while aligning with the company’s Cloud/DevOps practices and Agile workflows, and offers substantial growth opportunities for driven

Qualifications

• Experience with MLOps across production pipelines and deployments.

Skills

MLOps

Python

Machine Learning Pipelines

Model Deployment

TensorFlow

PyTorch

MLflow

Docker

Kubernetes

Cloud Platforms

Terraform

Data Versioning

Linux

Git

Agile methodologies

Tools

Docker

Kubernetes

MLflow

Git

Terraform

Job description

Bright Vision Technologies, a forward‑thinking software development company, seeks an MLOps Engineer to help operationalize ML models at scale. The role emphasizes MLOps, Python, and modern ML pipelines, with hands‑on work on model deployment and monitoring using TensorFlow, PyTorch, and MLflow, across AWS/Azure/GCP environments.

The position supports remote work while aligning with the company’s Cloud/DevOps practices and Agile workflows, and offers substantial growth opportunities for driven