Senior Machine Learning Engineer - Platform - Remote

Overview

As a Senior Machine Learning Engineer, you will work closely with applied science practitioners and engineers to rapidly build, deploy, and iterate high-quality ML infrastructure solutions at scale, ensuring both reliability and effectiveness.

In Short

• Drive core components of our ML Platform technical roadmap to design and build MLOps solutions.
• Develop, maintain, and enhance frameworks for machine learning model development and deployment.
• Collaborate with ML model builders and application owners to determine business requirements.
• Develop and enhance infrastructure supporting machine learning services.
• Support the development of new patterns for the deployment of machine learning models.

Requirements

• At least 10 years of software engineering experience (Python, Ruby, or Java).
• Experience architecting and developing infrastructure for machine learning lifecycle.
• Experience with at least one major cloud platform (AWS preferred).
• Experience with MLOps tooling such as KubeFlow, AWS Sagemaker, or MlFlow.

Benefits

• Collaborative and inclusive workplace.
• Flexible work arrangements.
• Competitive salary and benefits.
• Opportunities for professional development.
• Commitment to diversity and inclusion.