Senior MLOps Engineer: Production ML Platforms

dv01; United States; Remote; USD 185,000 - 200,000; Full time

Benefits offered by this job

Unlimited PTO

$1,000 Learning & Development Fund

Remote-First Environment

Health Care and Financial Planning

Fitness Fund

Paid Family Leave

Job summary

dv01 is looking for an MLOps Engineer to build and operate the ML lifecycle platform. This hands-on role will focus on ensuring ML systems are reliable and production-ready while mentoring junior engineers. You will work to create automated pipelines and establish governance for ML operations.

The ideal candidate has experience in platform engineering, DevOps, or MLOps, with strong skills in Kubernetes and Python. The role also offers exciting perks such as a remote-first environment and comprehensive benefits.

Qualifications

• 4–7 years of experience in platform engineering, DevOps, or MLOps.
• Experience with ML lifecycle tooling such as MLflow.
• Strong knowledge of cloud-native infrastructure and CI/CD.

Responsibilities

• Build and operate the ML lifecycle platform.
• Own CI/CD for ML workloads and package/validate models.
• Make models observable and reliable in production.
• Manage containerized workloads on Kubernetes.

Skills

Platform engineering

DevOps

MLOps

Kubernetes

Python

Go

CI/CD

Tools

MLflow

Terraform

GCP

Job description

dv01 is looking for an MLOps Engineer to build and operate the ML lifecycle platform. This hands-on role will focus on ensuring ML systems are reliable and production-ready while mentoring junior engineers. You will work to create automated pipelines and establish governance for ML operations.

The ideal candidate has experience in platform engineering, DevOps, or MLOps, with strong skills in Kubernetes and Python. The role also offers exciting perks such as a remote-first environment and comprehensive benefits.