ML Ops Engineer

Signal Works · South Korea

About the role

About the Role

We are looking for a talented ML Ops Engineer.

Requirements

- Shopify - Ruby - SEO - Figma - React - Spring Boot - NLP - 4+ years experience - Remote-first mindset

Benefits

- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance

What You Will Do

As an ML Ops Engineer, you will be instrumental in deploying and managing our machine learning models, particularly those leveraging NLP for customer insights within our Shopify platform. You will collaborate with our development teams to integrate these models into our existing Ruby and Spring Boot microservices, ensuring robust and scalable solutions. Your work will also involve optimizing model performance and monitoring SEO impacts, using your Figma skills to visualize and communicate key metrics to stakeholders.

Why Join Us

We offer a dynamic, forward-thinking environment where your contributions to cutting-edge ML projects will be highly valued. You’ll be part of a supportive, remote-first team that encourages continuous learning and professional growth, with opportunities to expand your expertise across various technologies like React and advanced NLP techniques. This part-time role provides flexibility while allowing you to work on impactful projects that shape our product’s future.

Who You Are

You are a proactive and detail-oriented ML Ops Engineer with a proven ability to bridge the gap between machine learning and production systems. You possess practical experience with deploying models in cloud environments and a strong understanding of CI/CD pipelines. Your comfort with diverse tech, including NLP, Ruby, Spring Boot, and familiarity with frontend frameworks like React and design tools like Figma, makes you an ideal candidate to enhance our Shopify ecosystem and drive data-informed decisions.

Required skills

About Signal Works

Signal Works builds innovative logistics solutions for global teams.

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