Remote MLOps Engineer: Build Production ML Pipelines

Cedent; United States; Remote; USD 55,104 - 82,656; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Job summary

A leading cloud solutions provider is looking for an experienced MLOps Engineer to manage the lifecycle of production machine learning models. You will be responsible for building pipelines, monitoring production models, and ensuring performance and monitoring standards are met. The ideal candidate will have GCP experience, strong Python skills, and the ability to work remotely during CST hours. This position offers an hourly rate of $40–$60 and includes health benefits.

Qualifications

• 4+ years of MLOps or DevOps for ML systems.
• Hands-on experience with Google Cloud Platform.
• Proficient in Python and CI/CD methodologies.

Responsibilities

• Design CI/CD pipelines for training and inference.
• Standardize model packaging and rollout strategies.
• Implement monitoring and alerting for models.

Skills

MLOps/ML platform experience

GCP experience

Python proficiency

SQL skills

Tools

Docker

Terraform

Job description

A leading cloud solutions provider is looking for an experienced MLOps Engineer to manage the lifecycle of production machine learning models. You will be responsible for building pipelines, monitoring production models, and ensuring performance and monitoring standards are met. The ideal candidate will have GCP experience, strong Python skills, and the ability to work remotely during CST hours. This position offers an hourly rate of $40–$60 and includes health benefits.