Senior ML Architect — Cloud-Native Production Systems

Jobtailor; Town of Texas (WI); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a senior ML Architect to join an Agile team dedicated to productionizing machine learning applications at scale. You will design, develop, and implement ML solutions using Python, Scala, or Java across AWS, Azure, and Google Cloud platforms.

The role focuses on ML architectural design, model optimization, data pipelines, and the end-to-end delivery of production models. You will collaborate with Product and Data Science teams, apply CI/CD practices, monitor models, and

Qualifications

• Bachelor’s degree in CS, EE, math, or related field.
• 6+ years designing data-intensive distributed solutions.
• 4+ years Python/Scala/Java programming.
• 2+ years building ML systems at scale.
• No immigration sponsorship for employment authorization.
• Preferred: Master’s or Doctoral in CS/EE/Math.
• Preferred: 3+ years building production-ready data pipelines.
• Preferred: 3+ years with ML frameworks like scikit-learn, PyTorch, Spark, TensorFlow.
• Preferred: 2+ years of leadership experience.
• Preferred: 2+ years with AWS/Azure/GCP.

Responsibilities

• Participate in an Agile team for productionizing ML applications at scale.
• Design, develop, and implement ML applications.
• Focus on ML architectural design.
• Develop and review model and application code.
• Ensure high availability and performance of ML apps.
• Design, build, deliver ML models and components solving business problems with Product and Data Science teams.
• Inform ML infrastructure decisions on data, training, validation, etc.
• Write and test code, develop and validate ML models, and automate tests and deployment.
• Collaborate with cross-functional Agile team to enable big data and ML apps.
• Retrain, maintain, and monitor production models.
• Leverage/build cloud-based architectures to deliver optimized ML models at scale.
• Construct optimized data pipelines feeding ML models.
• Apply CI/CD with test automation and monitoring.
• Manage code to reduce vulnerabilities and govern models with Responsible and Explainable AI.
• Use Python, Scala, or Java.

Skills

Python Programming

Scala

Java

Distributed Computing

Data Pipeline Construction

Leadership

Education

Bachelor’s Degree

Master’s or Doctoral Degree

Tools

AWS

Azure

Google Cloud Platform

Scikit-learn

PyTorch

Dask

Spark

TensorFlow

Job description

Jobtailor is seeking a senior ML Architect to join an Agile team dedicated to productionizing machine learning applications at scale. You will design, develop, and implement ML solutions using Python, Scala, or Java across AWS, Azure, and Google Cloud platforms.

The role focuses on ML architectural design, model optimization, data pipelines, and the end-to-end delivery of production models. You will collaborate with Product and Data Science teams, apply CI/CD practices, monitor models, and