Machine Learning Architect

📋 Description

• • As a Machine Learning Architect at Caylent, you will play a pivotal role in guiding customers and internal teams through the design and delivery of cutting-edge AWS-based machine learning solutions, driving innovation in cloud-native applications across diverse industries.
• • Your day-to-day responsibilities include leading requirements gathering, translating customer needs into actionable engineering backlogs, delegating tasks to engineering teams, facilitating Agile ceremonies, and ensuring seamless execution of ML projects from concept to production.
• • You will apply deep expertise in DevOps practices, MLOps tools, and infrastructure-as-code to build, test, monitor, and maintain scalable ML systems while troubleshooting issues across development, test, and production environments.
• • Caylent is a fully remote, cloud-native services company specializing in AWS solutions, with a global team spanning Canada, the U.S., and Latin America, committed to fostering technological curiosity, inclusivity, and continuous learning.
• • In this role, you will mentor junior engineers, collaborate with world-class technical peers, sharpen your leadership and communication skills, and gain hands-on experience shaping enterprise-grade ML architectures on AWS while contributing to a culture of innovation and excellence.