Senior Machine Learning Engineer - Remote

Overview

The Central Data & Analytics Organization at Global is building a next-generation AI/ML platform on AWS, and we’re looking for a Senior Machine Learning Engineer to help us scale smarter and faster. This role is pivotal in bridging the gap between data science exploration and robust, production-ready ML systems.

In Short

• Be a key member of the Data Science/Machine Learning team.
• Architect and implement a cutting-edge machine learning platform.
• Focus on production-ready ML systems and automated pipelines.
• Collaborate with Data Scientists on model deployment.
• Design scalable cloud infrastructure and workflows.
• Monitor and maintain the performance of deployed models.
• Ensure data integrity and system reliability.
• Contribute to architecture discussions and documentation.
• Work in a flexible environment with remote options.
• Engage in community support through paid volunteer time-off.

Requirements

• Bachelor’s Degree or equivalent knowledge; Master’s preferred.
• 4+ years of experience in MLOps, DevOps, or related fields.
• Strong written and verbal communication skills.
• Ability to work independently and take ownership of projects.
• Experience managing production systems with high reliability.
• Familiarity with AWS tools and cloud services.
• Commitment to documentation and maintainability of ML workflows.
• Willingness to learn new tools and frameworks.
• Flexibility to support after-hours deployment if needed.
• Adherence to security and governance standards.

Benefits

• Competitive salaries and opportunities for growth.
• Health + Wellness benefits including medical and dental.
• 401k with a match component.
• Tuition reimbursement after 6 months of service.
• Paid volunteer time-off to support community organizations.