Machine Learning Architect

📋 Description

• • Machine Learning Architect role focused on designing and delivering AWS-based machine learning solutions for diverse customers, driving innovation in cloud-native applications.
• • Day-to-day responsibilities include guiding teams through Agile ceremonies, translating customer requirements into actionable backlogs, delegating tickets to engineers, leading architecture discussions, applying DevOps and MLOps practices, troubleshooting environments, automating testing, writing production-quality code, and mentoring teammates.
• • Caylent is a global, fully remote cloud-native services company specializing in AWS solutions, with a people-first culture that values technological curiosity, inclusivity, and continuous learning across teams in the U.S., Canada, and Latin America.
• • In this role, you will deepen your expertise in ML system design and MLOps, strengthen client-facing consulting skills, lead cross-functional technical initiatives, and grow as a technical leader through mentorship and exposure to cutting-edge AWS technologies.