AWS Machine Learning Architect

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. This isn’t an active role right now, but we’re building a community of great talent for future opportunities at Caylent. We are seeking an exceptional Machine Learning Architect to join our growing Cloud Native Applications team. The right candidate is someone who has deep expertise in ML system design and is passionate about working with our customers, partners, and colleagues to drive innovation forward. Your mission will be to work alongside Caylent’s Engineers, Engineering Managers, and Project Managers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll work with the latest technologies and support customers looking to bring cutting‑edge ideas to market. You will be a mission control specialist, guiding Cayliens and Customers alike through Agile ceremonies like stand‑ups, retrospectives, and more. You will translate customer requirements into a workable backlog of tickets for engineers. Delegate tickets to a team of engineers in order to complete customer projects. Lead requirements gathering, backlog grooming, and architecture discussions. Apply your understanding of DevOps pipelines, including build automation, branching strategies, CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting. Troubleshoot and resolve issues in customer dev, test, and production environments. Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results. Write production‑quality code, including unit and integration tests. Work with a team to deliver top‑quality cloud native applications on AWS for customers. Customer Experience Facilitates alignment across stakeholders or technical priorities and deliverables. Breaks down complex technical concepts for non‑technical audiences in a clear, concise manner. Technical Qualifications Expert level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch, Scikit-learn). Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimization strategies. Medical Insurance for you and eligible dependents. Generous holidays and flexible PTO. Peer bonus awards. Equipment & Office stipend. Work with an amazing worldwide team and in an incredible corporate culture. The expected base salary range for this position is CAD $152,000
- $171,000 per year, commensurate with experience and qualifications. In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and/or company performance. This role may require up to 25% travel, depending on business needs. As part of our recruitment process, we may use artificial intelligence (AI) tools or automated systems to assist with the screening and evaluation of applications to help match candidate qualifications with job requirements. These tools are designed to support — not replace — human decision‑making. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at hr@caylent.