Cloud ML Engineer — Scalable Pipelines & MLOps

UST; Hillsboro (OR); On-site; USD 72,000 - 108,000; Full time

Benefits offered by this job

Paid vacation

Paid sick leave

Paid holidays

401(k) with employer matching

Medical insurance

Dental insurance

Vision insurance

Job summary

UST is seeking Cloud Application Developers to design, build, and maintain scalable ML solutions that support manufacturing and business applications. You will design pipelines, deploy models, and create APIs and microservices across cloud and on‑prem environments.

You will use Docker and Kubernetes to package and scale ML services, implement CI/CD, and collaborate with software engineers, data scientists, and DevOps teams to deliver robust ML capabilities in a fast-paced setting.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field or equivalent practical experience.
• Strong programming skills in Python and solid understanding of software engineering principles.
• Hands-on experience with production-grade software and services.
• Experience with Docker and cloud deployment technologies.
• Knowledge of ML concepts and model development lifecycle.
• Experience with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions.

Responsibilities

• Design, develop, and maintain scalable ML pipelines for data processing, model training, validation, and inference.
• Develop, deploy, and support APIs and microservices for ML capabilities.
• Use Docker and Kubernetes to package and scale ML services.
• Accelerate deployment cycles using cloud-native ML platforms on Kubernetes/Rancher.
• Implement MLOps practices including CI/CD, model versioning, monitoring, and automated deployment.
• Collaborate with software developers, data scientists, and DevOps to integrate ML into manufacturing processes.
• Optimize deployed ML models for performance, scalability, and reliability.
• Troubleshoot ML pipelines, infrastructure, and production deployments.
• Contribute to architecture discussions, code reviews, and technical documentation.

Skills

Python

CI/CD

Docker

Kubernetes

Machine Learning

OpenCV

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or related field

Tools

GitHub Actions

Jenkins

GitLab CI

Job description

UST is seeking Cloud Application Developers to design, build, and maintain scalable ML solutions that support manufacturing and business applications. You will design pipelines, deploy models, and create APIs and microservices across cloud and on‑prem environments.

You will use Docker and Kubernetes to package and scale ML services, implement CI/CD, and collaborate with software engineers, data scientists, and DevOps teams to deliver robust ML capabilities in a fast-paced setting.