REMOTE MLOps Engineer

Insight Global • Plano, TX • 5h ago

Job Description

We are seeking an experienced Senior MLOps Engineer to support a high-impact initiative focused on modernizing machine learning infrastructure. This role will play a critical part in migrating existing machine learning pipelines to a modern Kubeflow-based architecture, helping accelerate the adoption of scalable, production-ready MLOps practices.

The ideal candidate will bridge the gap between data science and engineering, ensuring machine learning workflows are reliable, maintainable, and optimized for production. This is a hands-on role for someone who enjoys building infrastructure, improving development practices, and enabling data scientists to move faster.

About the Team

The E-Commerce MLOps team provides machine learning engineers and data scientists with a fully featured platform for research, development, and deployment of ML solutions.

This initiative is focused on accelerating workload migrations and achieving key platform goals before year-end.

What You'll Do

Analyze and document data input/output requirements for existing ML pipelines

Break down existing workflows into modular, self-contained pipeline components

Migrate machine learning pipelines to a Kubeflow-based platform

Develop and maintain containerized solutions using Docker and Kubernetes

Follow Test-Driven Development (TDD) methodologies to ensure code quality and reliability

Leverage AI-assisted development tools such as Codex, Claude, and Windsurf to increase productivity

Build, test, and validate end-to-end proto@types locally before deploying to production environments

Collaborate closely with machine learning engineers, data scientists, and platform teams

Contribute to CI/CD processes, automation, and deployment best practices

Help establish scalable engineering standards for machine learning operations

Required Qualifications

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

5+ years of experience in Software Engineering, DevOps, MLOps, or a related field

Experience delivering and supporting production-grade software systems

Strong proficiency in Python, SQL, Pandas

Hands-on experience with Docker, Kubernetes (self-hosted environments preferred)

Git and modern version control workflows, CI/CD pipelines and deployment automation

Strong command-line (CLI) proficiency

Experience gathering technical requirements and translating them into implementation plans

Demonstrated experience with Test-Driven Development (TDD)

Ability to independently develop and run end-to-end proto@types in a local containerized environment - Golang

Bash scripting

Experience with Kubeflow

Experience using AI-powered development tools for coding and software delivery

Go to Apply

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