Senior MLOps Engineer — Scalable ML Infra & Real-Time

Jobtailor; Menomonee Falls (WI); On-site; USD 120,000 - 190,000; Full time

Job summary

Jobtailor in Wisconsin is seeking an experienced ML Engineer to design, deploy, and operate ML solutions, build scalable ETL pipelines, and deploy models into customer-facing apps.

You will enable efficient model development through cloud tooling and maintain ML infrastructure for real-time and batch serving, while collaborating with data scientists and staying current with GCP and MLOps best practices.

Qualifications

• Bachelor’s degree in Data Science or related field.
• 3+ years of experience delivering ML models to production.
• Experience with GCP Vertex AI, BigQuery, and Dataproc.

Responsibilities

• Support cross-functional teams in designing, deploying, and operating machine learning solutions.
• Build and scale ETL pipelines.
• Deploy models into customer-facing applications.
• Enable efficient model development through cloud infrastructure and tooling.
• Design, build, and maintain scalable ML infrastructure for real-time and batch serving, training environments, and orchestration systems.
• Contribute to the ML Engineering and Data Science tools roadmap.
• Develop reusable frameworks and standardized solutions for model implementation.
• Support Data Scientists in using cloud-based tools and infrastructure.
• Collaborate with ML engineers to share knowledge and best practices.
• Develop and maintain monitoring, alerting, and automated testing frameworks.
• Develop, document, and communicate implementations and best practices across the data science lifecycle.
• Manage and communicate cloud infrastructure costs and budgets to stakeholders.
• Stay current with GCP services and MLOps best practices.
• Perform additional assigned tasks.

Skills

MLOps Practices

Google Cloud Platform

Machine Learning Model Deployment

CI/CD Pipelines

Python Programming

Education

Bachelor’s Degree in Data Science

Master’s Degree (Preferred)

Tools

Docker

Kubernetes

Git

TensorFlow

PyTorch

Scikit-learn

Spark

Kubeflow

Airflow

BigQuery

Job description

Jobtailor in Wisconsin is seeking an experienced ML Engineer to design, deploy, and operate ML solutions, build scalable ETL pipelines, and deploy models into customer-facing apps.

You will enable efficient model development through cloud tooling and maintain ML infrastructure for real-time and batch serving, while collaborating with data scientists and staying current with GCP and MLOps best practices.